Vietnamese speech dataset This work introduces viVoice, the first publicly available large-scale Vietnamese speech dataset designed to advance research in Vietnamese text-to-speech We applied this method to synthesize Vietnamese speech with sadness and happiness. In this work, we present VietMed - a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech. On social media, hate speech has become a critical problem for social network users. In this study, we have achieved two targets. On average, the algorithm takes A synthesized dataset for Vietnamese TTS task . The training data consists of 4. in A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts This dataset contains 33,400 annotated comments used for hate speech detection on social network sites. In this speech challenge, you will build a system to predict genders and regional accents of Vietnamese speakers using a diverse speech dataset. 3k • 45 • 22 uitnlp/OpenViVQA-dataset. In conclusion, the proposed method proves to be more effective for a high degree of automation and fast emotional sentence generation, using a small emotional-speech ments collected from Vietnamese social media. However, we only focus on 20 classes which we believe are the most relevant to daily environmental noise. Abstract: Due to privacy restrictions, there's a shortage of publicly available speech recognition In recent years, hate speech detection in Vietnamese has brought a lot of attention from many researchers. Thirdly, EDA techniques are applied to deal with imbalanced data to improve the performance of classifica-tion models. Something went wrong fication codes and gender, allowing the dataset to support various speech-related tasks. 07: Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models: Official Each entry in the dataset consists of a unique MP3 and corresponding text file. We use UIT-ViQuAD 2. 3% absolute F1 score comparing to the latest study. VietMed is also by far the largest public Vietnamese speech dataset in terms of total duration. ipynb. CL] 4 Oct 2024 VietASR - Vietnamese Automatic Speech Recognition. However, the authors did not mention the annotation process and the VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain (LREC-COLING 2024) Code. is a dataset used for the VLSP 2019 shared task about Hate speech detection on Vietnamese language Footnote 1. Spontaneous Common Dataset The topic of this shared task is to address the main problems of TTS systems using spontaneous dataset to build natural speech. Navigation Menu Toggle navigation. Found 16 Vietnamese Datasets . The dataset contains 619 minutes (~10 hours) of speech data, which is recorded by a southern vietnamese female speaker. There are 171 That Vietnamese is a low-resource language re-172 sults in a shortage of extensive datasets for training 173 targeted language models, particularly in specific 174 NLP tasks. The VLSP-HSD dataset provided by Vu et al. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms. 08683: Emotional Vietnamese Speech-Based Depression Diagnosis Using Dynamic Attention Mechanism. Find and fix UIT-ViCTSD (Vietnamese Constructive and Toxic Speech Detection) is a dataset for constructive and toxic speech detection in Vietnamese. 95 for happiness. This dataset was recorded by a 32-year-old female speaker with authentic pronunciation and a mature, steady vocal quality in a professional recording studio. 87 and 0. 41: PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing: Official vELECTRA (2020) 94. method to synthesize Vietnamese speech with sadness and happiness. I'm building an end-to-end Vietnamese Speech Recognition System. Upvote -nhuvo/MedEV. Our contributions are summarized as follows: • As the first contribution, we present a high-quality and large-scale English-Vietnamese speech translation dataset containing 508 audio hours. Introducing Bud500, a diverse Vietnamese speech corpus designed to support ASR research community. Le and Quang H. Vietnamese Speech Recognition Corpus- (Mobile)- 144 Speaker - 76. Vietnamese Dataset. The dataset comprises 10,686 mp3 files, totaling slightly We present a Vietnamese voice dataset for text-to-speech (TTS) application. The audio is NOT for commercial use. Automate any workflow Security. a fine-grained classification of the 63 di-alects, with each dialect being unique to a. Secondly, a novel hate speech detection (HSD) model, which is the combination of a pre-trained PhoBERT model and a Text-CNN model, was proposed for solving tasks in Vietnamese. 86 Weighted Accuracy (WA) rate and F1 rate of 0. Contribute to NTT123/vietTTS development by creating an account on GitHub. This is a curated list of open speech datasets for speech-related research (mainly for Automatic Speech Recognition). Alexei Baevski, Michael Auli, Abdelrahman Mohamed, arxiv We propose a BERT-style model learning Introduction Video (Vietnamese) Figure 1: Total duration of the viVoice dataset (1,017 hours) compared to other multi-speaker Vietnamese speech datasets. It comes in two versions: BARTpho_word and BARTpho_syllable, both of which are the first large-scale monolingual sequence-to-sequence models pre-trained specifically for LJ Speech - This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. To our best knowledge, VietMed is by far the world’s largest public medical speech recognition dataset in 7 aspects: total duration, number of speakers, diseases, ViHSD (Vietnamese Hate Speech Detection Dataset) Introduced by Luu et al. I'll deploy it into production with the help of Flask, Uwsgi, Nginx, and AWS nginx flask uwsgi pytorch hydra speech-to-text sst aws-deploy conformer pytorch-lightning vietnamese-speech-recognition rnnt vietnames-asr tranducer vivos vietnamese-speech-to-text. Shaip high-quality audio datasets are a quick and effective solution for model training. Closed polinaeterna opened this issue Sep 6, 2022 · 3 comments · Fixed by #4969. %0 Conference Proceedings %T ViASR: A Novel Benchmark Dataset and Methods for Vietnamese Automatic Speech Recognition %A Nguyen, Binh %A Huynh, Son %A Tran, Quoc Khanh %A Tran-Hoai, An Le English-Vietnamese speech translation. Please contact this email: sonlt@uit. Keywords—VLSP Campaign 2020, TTS shared task, speech synthesis, text-to-speech, evaluation, perception test, Vietnamese I. Audiobooks Content Creation and Entertainment Language Learning. [] proposed effective steps of text prepossessing combined with Logistic Regression to address the problem on the hate speech dataset provided by VLSP. This dataset is recorded in a controlled fication codes and gender, allowing the dataset to support various speech-related tasks. • This work introduces Vietnamese Multi-Dialect (ViMD) dataset, a novel comprehensive dataset capturing the rich diversity of 63 provincial dialects spoken across Vietnam, and fine-tune state-of-the-art pre-trained models for two downstream tasks: Dialect identification and Speech recognition. The only research we found has created a dataset for hate 2. The LibTTS dataset is included for reference purposes. It consists of 10,000 human-annotated comments. VietMed is a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech, and the first public large-scale pre-trained models for Vietnamese ASR, w2v2-Viet and XLSR-53-Viet are released along with the first public large 📜 VLSP 2018 Shared Task: Aspect Text-To-Speech Evaluation paper; In order to evaluate the quality of TTS systems, the test set contains 30 numbered sentences in the news domain. 20220916: Update VIVOS link, added several Japanese speech corpora: TEDxJP-10K, LaboroTVSpeech, Kokoro, JECS, SpeedSpeech-JA-2022, SMASH corpus; 20211123: Removed VinBigdata-VLSP2020-100h, added a new Korean Corpus Seoul Corpus, a new Japanese Corpus JTubeSpeech, and a new polyglot corpustri-jek. The data format I would use to train and evaluate is just like LJSpeech, so I create data/custom. vivos (Vietnamese speech corpus) dataset not accessible #4936. PhoWhisper's robustness is achieved through fine-tuning the multilingual Welcome to the Vietnamese Call Center Speech Dataset for the Travel domain designed to enhance the development of call center speech recognition models specifically for the Travel industry. Model description Our models are pre-trained on 13k hours of Vietnamese youtube audio (un-label data) and fine-tuned on 250 hours labeled of VLSP ASR dataset on 16kHz sampled speech audio. for speech-related tasks: speech-to-text & text-to-speech In this paper, we create a dataset for classifying constructive and toxic speech detection, named UIT-ViCTSD (Vietnamese Constructive and Toxic Speech Detection dataset) with 10,000 This dataset consists of 348 non-zero onset Vietnamese speeches (with their transcripts and the labelled start and end times of each speech) extracted from approximately This research introduces the dataset that we created to test voice emotional recognition models with Vietnamese data. Let’s get started! To help address this issue, we present the ViHOS (Vietnamese Hate and Offensive Spans) dataset, the first human-annotated corpus containing 26k spans on 11k comments. This poses a challenge for current TTS models since they only perform A large-scale dataset for Vietnamese hate speech detection - GitHub - sonlam1102/vihsd: A large-scale dataset for Vietnamese hate speech detection All reactions: 8 Fine-tuned Wav2Vec2 model on Vietnamese Speech Recognition task using about 270h labeled data combined from multiple datasets including Common Voice, VIVOS, VLSP2020. If you need an example of a small audio datasets, I just created few hours ago a speech dataset with only 300MB of compressed audio files https: This research introduces the dataset that we created to test voice emotional recognition models with Vietnamese data. [] had a study on building the ViHSD dataset and hate speech detection in Vietnamese Covering a wide gamma of NLP use cases, from text classification, part-of-speech (POS), to machine translation. edu. It aims to cover both HSD-VLSP is a Vietnamese Hate Speech Detection dataset on social-network comments provided by VSLP 2019 shared-task . To our best knowledge, VietMed is by far the world’s largest public medical speech recognition dataset in 7 aspects: total duration, number of speakers, diseases, Contributing to building a scientific playground for the Speech and Language Processing community in Vietnam, Vingroup Big Data Institute has shared two Vietnamese datasets, supporting VLSP to organize ASR challenge 2020. Vietnamese, a low-resource language, is typically English-Vietnamese speech translation. We provide the experimental results and discussions in Section 4. The BARTpho model, a Vietnamese variant of the BART architecture, is specifically designed for generative NLP tasks. This dataset consists of 348 non-zero onset Vietnamese speeches (with their transcripts and the labelled start and end times of each speech) extracted from approximately 30-hour of FPT Open Speech Data (released publicly in 2018 by FPT Corporation). We present the emotional corpora used in this paper, emotional Vietnamese speech synthesis system based on Flowtron, in Section 3. (UA) rate of 0. Welcome to the Vietnamese Call Center Speech Dataset for the Real Estate domain designed to enhance the development of call center speech recognition models specifically for the Real Estate industry. We hope that our dataset construction process can be further adapted to create more speech translation data for Vietnamese Dataset. The audio is generated by Google Text-to-Speech offline engine on Android. I'll deploy it into production with the help of Flask, Uwsgi, Nginx, and AWS - manhph2211/ViSTT. Transcribed with text content, timestamp, speaker's ID, gender and other attributes. Moreover, those comments are also quite toxic and harmful to people. The dataset. On average, the algorithm takes Vietnamese (Vietnam) Call Center Speech Dataset for Delivery & Logistics. Due to the topic of this year’s task, we decided to collect audio from the Internet, especially Youtube for more specific. We present a Vietnamese voice dataset for text-to-speech (TTS) application. These data are extremely useful for benchmarking with different developed Vietnamese TTS models or engines. We applied this method to synthesize Vietnamese speech with sadness and happiness. ViHSD is a Vietnamese dataset collected from comments on popular social media platforms such as Facebook and YouTube. To our Enhance your Conversational AI model with our Off-the-Shelf Vietnamese Language Datasets (Vietnamese Language Speech Datasets). We also provide definitions of In this paper, we (1) presented the first Vietnamese speech dataset for NER task, and (2) the first pre-trained public large-scale monolingual language model for Vietnamese that achieved the new state-of-the-art for the Vietnamese NER task by 1. GigaSpeech 2 raw comprises about 30,000 hours of automatically This document aims to track the progress in Vietnamese Natural Language Processing and give an overview of the state-of-the-art (SOTA) across the most common NLP tasks and their corresponding datasets. Vbee Jsc supported to build the dataset for this task. 🚀 Some experiment with NeMo, ASR use QuartzNet model is a smaller version of Jaser model. It is an initiative to establish a community working on speech and text processing for the Vietnamese language [2]. Follow wav2vec2 paper: For the first time Welcome to the Vietnamese Call Center Speech Dataset for the Healthcare domain designed to enhance the development of call center speech recognition models specifically for the Healthcare industry. CL] 4 Oct 2024 We release the first comprehensive multi-dialect Vietnamese speech dataset, offering a fine-grained classification of the 63 dialects, with each dialect being unique to a specific province of Vietnam. Dialect is an important factor when designing a Vietnamese speech dataset, as speeches uttered in different dialects have very different characteristics. In this research, we present a signifi-175 cant Vietnamese hate speech classification dataset 176 alongside an automated data annotation system. The dataset comprises 10,686 mp3 files, totaling slightly over 14 hours of speech data from 449 speakers representing both genders across the three primary Vietnamese dialects: Northern, Central, and Southern. Son Thanh Luu) for the dataset. However, each province within these regions exhibits its own distinct pronunciation variations. Model description Our models are pre-trained on 13k hours of Vietnamese youtube audio (un-label data) and fine-tuned on 250 hours To our best knowledge, VietMed is by far the world’s largest public medical speech recognition dataset in 7 aspects: total duration, number of speakers, diseases, recording conditions, speaker roles, unique medical terms and accents. dialect Vietnamese speech dataset, offering. The dataset comprises 102. Contribute to Nexdata-AI/500-Hours-Vietnamese-Conversational-Speech-Data-by-Mobile-Phone development by creating an account on GitHub. Contribute to dangvansam/viet-tts development by creating an account on GitHub. Free Vietnamese speech corpus consisting of 15 hours of recording speech. An attempt to Vietnamese speech enhencement with U-net and Unet based ResNet - nmd2k/speech-enhancement. Navigation Menu The project used VIVOs, which is a widely-used Vietnamese public dataset. The data set is the result of research, testing, and filtering 250 emotional segments from movie, movie series and live show divided equally for 5 basic emotional states of humans: “anger, happiness, sadness, neutral and anxiety”, The ViSpeech Dataset is a collection of unscripted audio recordings designed for the classification of gender and Vietnamese dialects. py to customize the given dataset. The only available resource for speech translation to Vietnamese is the 441-hour English-Vietnamese speech translation data from the TED-talk-based multilingual dataset MuST-C. Custom fine-tune with Vietnamese datasets . We hope that our dataset construction process can be further adapted to create more speech translation data for Vietnamese, a low-resource language, is typically categorized into three primary dialect groups that belong to Northern, Central, and Southern Vietnam. Vietnamese Automatic Speech Recognition using Wav2vec 2. Vietnamese Text to Speech library. Natural data is gathered from conversations and live TV shows, while in the acting part, it is gathered from movies and live shows. But so far research on this subject is still very rare. BARTpho Model. One of the shared task held at the eighth workshop is TTS[1] using dataset that only consists of spontaneous audio. Abstract—In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. INTRODUCTION VLSP stands for Vietnamese Language and Speech Processing Consortium. updated Jun 19. Despite the existence of various speech recognition datasets, none of them has provided a fine-grained classification of dialect Vietnamese speech dataset, offering a fine-grained classification of the 63 di-alects, with each dialect being unique to a 7476. We have not yet incorporated the Language Model AI Speech. We use wav2vec2 architecture for the pre Introduction Video (Vietnamese) Figure 1: Total duration of the viVoice dataset (1,017 hours) compared to other multi-speaker Vietnamese speech datasets. See notebooks/denoise_infore_dataset. Vietnamese Spontaneous Dialogue Telephony speech dataset, collected from dialogues based on given topics. This is the repository for the anonymous submission of the Vietnam-Celeb dataset at Interspeech 2023. (Vietnamese Hate and Offensive Spans) dataset, the first human-annotated corpus containing 26k spans on 11k comments. 61 for sadness and 3. Request PDF | A Large-Scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts | In recent years, Vietnam witnesses the mass development of social network users on different social In this study, we focus on Vietnamese to close the gap and develop the first Vietnamese hate and offensive spans detecting benchmark . The model was fine-tuned using SpeechBrain The objective of our work is to detect hate speech in the Indonesian language. In this work, we build a TTS system using the Grad-TTS model, as well as illustrate how to pre-process data to improve a model dramatically. The data set is the result of research, testing, and filtering 250 emotional Here I used 100h speech public dataset of Vinbigdata, which is a small clean set of VLSP2020 ASR competition. Dataset. We also conduct empirical experiments using strong baselines and find that the Due to privacy restrictions, there's a shortage of publicly available speech recognition datasets in the medical domain. The pretrained model on this repo was trained with ~100 hours Vietnamese speech dataset, was collected from youtube, radio, call center(8k), text to speech data and training dataset. In this paper, we introduce a high-quality and large-scale benchmark dataset for English-Vietnamese speech translation with 508 audio hours, consisting of 331K triplets of (sentence-lengthed audio, English source transcript sentence, Vietnamese target subtitle sentence). VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Vietnamese Automatic Speech Recognition task. We hope that our dataset construction process can be further adapted to create more speech translation data for 2017, OpenFPT: Speech Recognition; 📁 Dataset. The challenge is divided into two tasks: • Task 1: To build a Text-to-Speech (TTS) sys-tem that synthesizes four types of emotional speech: neutral, sad, happy, and angry. 1. Thus, this paper presents in detail the first Tacotron-2-based TTS application development for Vietnamese that utilizes the publicly available FPT open speech dataset (FOSD) containing approximately 30 hours of labeled audio files together with their transcripts. These sentences have different length, and contain some information on date, personal name, foreign location name, and some Vietnamese popular abbreviations, etc. I NT ROD UC TI ON. specific province of Vietnam. Mean opinion score (MOS) assessment results show that MOS is 3. Vietnamese end-to-end speech recognition using wav2vec 2. Accessibility: The model is also available for public use, In this paper, we introduce a high-quality and large-scale benchmark dataset for English-Vietnamese speech translation with 508 audio hours, consisting of 331K triplets of (sentence-length audio, English source transcript sentence, Vietnamese target subtitle sentence). 7476. First and foremost, we built a standard Vietnamese Social Media Emotion Corpus (UIT-VSMEC) with about 6,927 human-annotated sentences with six emotion labels, For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset. A synthesized dataset for Vietnamese TTS task . Skip to content. However, there still exists invalid comments which are not informative for users. The dataset we use in this article is the VIVOS dataset, which contains a speech corpus by recording speech data from more than 50 native Vietnamese volunteers. Section 2 describes related work. Leverage these ready-to-deploy Vietnamese language audio datasets in building robust Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Conversational AI, and Voice assistant models. A These models leverage large datasets, such as the Vietnamese text-to-speech dataset, to learn the intricacies of the language, including phonetics, intonation, and rhythm. Each voice dataset includes The dataset of Vietnamese conversational speech. Huu et al. The corpus was prepared by AILAB, a computer science lab of VNUHCM - University of 🔔🔔🔔 visit https://github. comprises 102. Each comment in both datasets is assigned one of three labels: CLEAN, OFFENSIVE, or HATE. Dataset Card for Gigaspeech 2 Dataset Description GigaSpeech 2 is an evolving, large-scale, multi-domain, and multilingual ASR corpus focusing on low-resource languages. I. vn (Mr. ,2021). , we use the existing ASR models to process the Vietnamese speech corpus and manual proofreading by the Vietnamese speakers, thus yielding a spelling correction corpus that contains spelling errors. The extraction process was done automatically by a Python program written by the contributor. ipynb for instructions on The dataset used in this project is the ViHSD - Vietnamese Hate Speech Detection dataset. The Text-To-Speech (TTS) shared task was a _____ * Corresponding author. Pre-trained models and audio Emotional Vietnamese Speech Synthesis Using Style-Transfer Learning Thanh X. Some infomation of this dataset can be found at data/Data_Workspace. PhoWhisper: Automatic Speech Recognition for Vietnamese We introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. This repository includes four parts of the dataset: Part 0: Vietnamese dialect of the speaker; source: the crawling source of the We hope that this dataset will be useful for researchers and practitioners in the field of hate speech detection in general and hate spans detection in particular. 5 hours of speech data from a single speaker crawled from a television drama. The environmental noise were gathered from ESC-50 dataset . Sign in Product Actions. Viewer • After that, following Wang et al. 56 hours of audio, consisting of approximately 19,000 utterances, and the associated transcripts contain over 1. Inspire. 04/2023 — "XPhoneBERT: A Pre-trained Grad-TTS’s ability to perform well on a Vietnamese dataset remains a mystery, as Vietnamese is regarded as a challenging language due to distinct traits that differ significantly from English. In this research, we use the Vietnamese Speech Emotion dataset (VNEMOS) that we have compiled in recent work, the dataset contains both natural and acted data. 2 million syllables. 5 hours of read speech from 15 Vietnamese online newspapers Talks & Panels. 6. Many of the 33,151 recorded hours in the dataset also include demographic metadata like age, sex, and Abstract. It includes speech The well-labeled dataset namely FPT Open Vietnamese Speech Dataset having over 25,000 text lines and recorded audio files is demonstrated in this work. Dataset ViHOS contains 26,476 human-annotated spans on 11,056 comments Welcome to the Vietnamese Wake Word & Command Dataset, meticulously designed to advance the development and accuracy of voice-activated systems. This dataset contains 33,400 annotated comments used for hate The well-labeled dataset namely FPT Open Vietnamese Speech Dataset having over 25,000 text lines and recorded audio files is demonstrated in this work. In addition, since input text for training and validation are provided, they open an entirely new research optimization problem to be addressed: How to effectively generate speech from text given: a black box TTS (trained) model and its training This dataset is used for hate speech detection on Vietnamese language. We organize the rest of the paper as follows. ; 20210628: Added several Vietnamese Female Speech Synthesis Corpus. a T5-based model pre-trained on our proposed large-scale domain-specific dataset named VOZ-HSD. (ViSC) as our benchmark dataset. Created by Conneau & Wenzek in 2020, the CC100-Vietnamese dataset is one of the 100 corpora of monolingual To address this gap, we introduce Vietnamese Multi-Dialect (ViMD) dataset, a novel comprehensive dataset capturing the rich diversity of 63 provincial dialects spoken across Vietnam. This dataset contains 20,345 comments and posts on social networks. Luu et al. The data set is the result of research, testing, and filtering 250 emotional segments from movie, movie series and live show divided equally for 5 basic emotional states of humans: “anger, happiness, sadness, neutral and anxiety”, VNEMOS contains approximately However, there is very limited published works in TTS developed for Vietnamese. CC100-Vietnamese Dataset. Viewer • Updated Apr 27 • 26. With aprroximately 500 hours of audio, it covers a broad spectrum of topics including podcast, travel, book, food, and so on, while spanning Vietnamese accents from all regions. 6 hours by Speechocean (2017) data $ Vietnamese Speech Recognition Corpus-(In-Car)-300 Speakers - 305 hours by Speechocean (2017) data $ Globalphone Vietnamese - 22. The audio dataset comprises call center conversations for the Delivery & Logistics domain, featuring native Vietnamese speakers from Vietnam. We introduced a Vietnamese speech recognition dataset in the medical domain comprising 16h of labeled medical speech, 1000h of unlabeled medical speech and 1200h of unlabeled general-domain speech. We use wav2vec2 architecture for the pre-trained model. This dataset has been manually annotated to support research on the automatic detection of hate speech on social media platforms. This dataset features an extensive collection of wake words and commands, essential for triggering and interacting with voice assistants and other voice-activated devices. Introduction1 VLSP (Vietnamese Language and Speech Processing Consortium) is an initiative to establish a community working on speech and text processing for the Vietnamese language [1]. Nguyen* School of Information and Communication Technology, Hanoi University of Science and Abstract page for arXiv paper 2412. In this paper, we create a dataset for constructive and toxic speech detection, named UIT-ViCTSD (Vietnamese Constructive and Toxic Speech Detection dataset) with 10,000 human-annotated comments. This research introduces the dataset that we created to test voice emotional recognition models with Vietnamese data. This paper presents a large-scale spontaneous dataset gathered under noisy environments, with over 87,000 utterances from 1,000 Vietnamese speakers of many professions, covering 3 main Vietnamese dialects. 56 hours of audio recordings, nearly 19,000 utterances, and over 1. Data source location: Mendeley: Data accessibility: Tran, Duc Chung (2020), “The First FOSD-Tacotron-2-based Text-to-Speech Model Dataset for Vietnamese”, Mendeley Data, v1 This document presents the accompanying dataset for the paper titled "Multi-Dialect Vietnamese: Task, Dataset, Baseline Models, and Challenges". Twine AI. Learn more. 12/2023 — "An overview of foundation models for Vietnamese language processing", talk at the 10th workshop on Vietnamese Language and Speech Processsing VLSP 2023. The Best Vietnamese Language Datasets of 2022. The contributions of our study are as follows: • We release the first comprehensive multi-dialect Vietnamese speech dataset, offering a fine-grained classification of the 63 di-alects, with each dialect being unique to a arXiv:2410. We also conduct empirical experiments using strong baselines and find that the traditional “Cascaded” I'm building an end-to-end Vietnamese Speech Recognition System. In this paper, we create a dataset for constructive and toxic speech detection, named VietTTS: An Open-Source Vietnamese Text to Speech. With aprroximately 500 hours of audio, it covers a broad spectrum Index T erms —Vietnamese, Speech emotions dataset, Speech. One of the two datasets shared by VinBigdata is the speech corpus for the automatic speech recognition task in VLSP-2020. This dataset is useful for research related to TTS and its applications, text processing and especially TTS output optimization given a set of predefined input texts. PhoBERT: Pre-trained language models for Vietnamese: Official PhoNLP (2021) 94. Our dataset comprises 102. • Task 2: To adapt the TTS system in Task 1 to Vietnamese Speech Dataset. 87 in the VNEMOS dataset. Contribute to dangvansam/viet-asr development by creating an account on GitHub. A transcription is provided for each clip. Table 5 shows overview statistics of the datasets. Derived from free public audio resources, this publicly accessible dataset is designed to To our best knowledge, there is no existing research work that focuses solely on speech translation to Vietnamese. 2 million words. In this section, we will present a method to build an emotional Vietnamese speech synthesizer based on style transfer and To our best knowledge, VietMed is by far the world’s largest public medical speech recognition dataset in 7 aspects: total duration, number of speakers, diseases, recording conditions, speaker roles, unique medical terms and accents. To build the dataset, we propose a sophisticated construction pipeline that can also be applied to other languages, with efficient visual We release the first comprehensive multi-dialect Vietnamese speech dataset, offering a fine-grained classification of the 63 dialects, with each dialect being unique to a specific province of Vietnam. Le, An T. VoxVietnam is the largest dataset for Vietnamese speaker recognition, covering the three most common genres in real-world scenarios: reading speech, spontaneous speech, and singing. Our dataset covers a wide range of challenging scenarios, from interviews, and gameshow to podcasts and entertainment videos. Additionally, we are the first to present a medical ASR dataset covering all ICD-10 disease groups ViHOS: Hate Speech Spans Detection for Vietnamese. English-Vietnamese speech translation. 0 as a benchmark dataset for the shared task on Vietnamese MRC at the Eighth Workshop on Vietnamese Language and Speech Processing (VLSP 2021). We release the first comprehensive multi-dialect Vietnamese speech dataset, offering a fine-grained classification of the 63 dialects, with each dialect being unique to a specific province of Vietnam. OK, Got it. The dataset, referred to as the Vietnamese Multi-Dialect (ViMD) dataset, is a comprehensive resource designed to capture the linguistic diversity represented by 63 provincial dialects spoken across Vietnam. Contribute to Nexdata-AI/760-Hours-Vietnamese-Speech-Data-by-Mobile-Phone development by creating an account on GitHub. Our models are pre-trained on 13k hours of Vietnamese youtube audio (un-label data) and fine-tuned on 250 hours labeled of VLSP ASR dataset on 16kHz sampled speech audio. These classes are: vacuum cleaner: Check out this great work from Facebook research: Effectiveness of self-supervised pre-training for speech recognition. The corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Introducing Bud500, a diverse Vietnamese speech corpus designed to support ASR research community. Over the past decades, many studies have been conducted. In this work, we present VietMed - a Vietnamese speech recognition dataset in the medical Fine-tuned the Wav2vec2-based model on about 160 hours of Vietnamese speech dataset from different resources, including VIOS, COMMON VOICE, FOSD and VLSP 100h. Welcome to the Vietnamese Call Center Speech Dataset for the Telecom domain designed to enhance the development of call center speech recognition models specifically for the Telecom industry. 3 Dataset Creation 3. Metatext is a powerful no-code tool for train, tune and integrate custom NLP models ️ Try for free . All utterances are resampled to 16,000Hz. Training code is released in this https URL. It consistently outperforms multilingual models like XLM-R, particularly in tasks such as part-of-speech tagging and named-entity recognition. This work introduces viVoice, the first publicly available large-scale Vietnamese speech dataset designed to advance research in Vietnamese text-to-speech To address this gap, we introduce Vietnamese Multi-Dialect (ViMD) dataset, a novel comprehensive dataset capturing the rich diversity of 63 provincial dialects spoken across Vietnam. . Navigation Menu call center(8k), Bud500: A Comprehensive Vietnamese ASR Dataset Introducing Bud500, a diverse Vietnamese speech corpus designed to support ASR research community. 03458v1 [cs. For training, 46 Welcome to the Vietnamese Call Center Speech Dataset for the Retail domain designed to enhance the development of call center speech recognition models specifically for the Retail industry. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours. 0 - khanld/Vietnamese-ASR-Released-Model. Annotating speaker genders and Vietnamese dialects The last step in our pipeline is creating the gender and dialect labels for each speaker. Viewer • Updated Mar 29 • 718k • 203 • 6 ontocord/viet4all. 1 Dataset Source ViHOS consists of 11,056 comments derived from the ViHSD dataset (Luu et al. The Viet-namese Hate Speech Detection dataset (ViHSD) is one of the few large and Explore a comprehensive Vietnamese dataset designed for summarization tasks, enhancing NLP tool performance and research. Repository for the paper "ViHateT5: Enhancing Hate Speech Detection in Vietnamese with A Unified Text-to-Text Transformer Model" (ACL'2024 - Findings) - tarudesu/ViHateT5. With aprroximately 500 hours of audio, it covers a broad spectrum of topics including podcast, travel, book, food, and so on, The ViSpeech Dataset is a collection of unscripted audio recordings designed for the classification of gender and Vietnamese dialects. emotion recognition, Cognitive science, Signal processing. " The text is in public domain. Over 110 speech datasets are collected in this repository, and more than 70 datasets can be downloaded directly without 2. Identifying gender and regional accent from speech is essential for intelligent systems such as conversational chatbot, recommendation systems, smart home, and speech recognition. • The BARTpho model, introduced in the paper BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese, represents a significant advancement in Vietnamese text summarization. com/NTT123/vietTTS for a vietnamese TTS library (included pretrained mod The text is from a collection of novels and short stories from the author "Vu Trong Phung. Fine-tuned the Wav2vec2-based model on about 160 hours of Vietnamese speech dataset from different resources, including VIOS, COMMON VOICE, UIT-ViHSD - Vietnamese Hate Speech Detection Dataset. Contribute to NTT123/Vietnamese-Text-To-Speech-Dataset development by creating an account on GitHub. 3 Emotional Vietnamese Speech Synthesis Proposal Method. Comments: 9 Page, 5 Figures: Subjects: Welcome to the Vietnamese Call Center Speech Dataset for the BFSI domain designed to enhance the development of call center speech recognition models specifically for the BFSI industry. 56 hours of audio recordings, nearly 19,000 utterances, and Due to privacy restrictions, there's a shortage of publicly available speech recognition datasets in the medical domain. • Abstract Due to privacy restrictions, there’s a shortage of publicly available speech recognition datasets in the medical domain. This dataset consists of 25,921 recorded Vietnamese speeches (with their transcripts and the labelled start and end times of each speech) manually compiled from 3 sub VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Automatic Speech Recognition task. 0 Facebook's Wav2Vec2. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. ztioho zst ewhwa iwwoy ajofczzp ihjwf yzfykhy cib pujbi zrqe