Open speech corpus

Open speech corpus. : May 13, 2021 · This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. A speech corpus (or spoken corpus) is a database of speech audio files and text transcriptions . Jun 15, 2021 · This paper introduces RyanSpeech, a new speech corpus for research on automated text-to-speech (TTS) systems. A Kaldi based script using this data can be found on the We would like to show you a description here but the site won’t allow us. Subjects: Computation and Language (cs. Open Speech and Language Resources. The Punjabi Speech dataset consists of read speech recordings captured in various environments, including both studio and open settings. neng2 pei2 can3 jiu4 pei2 can3. The Tool can be easily used by anyone who wants to collect voice samples, the developer needs to fork the repository and change the settings to your needs. It was carefully inspected by native Kazakh speakers to ensure high quality. Jul 30, 2021 · The Uzbek speech corpus (USC) comprises 958 different speakers with a total of 105 hours of transcribed audio recordings. The corpus aims to support researchers in speech recognition, machine translation, speaker recognition, and other speech-related fields. It was released with a baseline system containing solid training and testing pipelines for Mandarin ASR. 4. We evaluate the sufficiency and the completeness of Feb 1, 2024 · To address this gap, we introduce three labeled Punjabi speech datasets: Punjabi Speech (real speech dataset) and Google-synth/CMU-synth (synthesized speech datasets). Five ex-perts annotated each of the utterances at sentence-level, word-level and phoneme-level. This is largest release yet, thanks to a growing, committed community, and multi-sector resourcing from partners such as Gates, NVIDIA, and GIZ. The Corpus. ) and Wonkyum Lee (@Gridspace Inc. Nov 1, 2017 · Our experiments are carried out on an open source Mandarin speech corpus AISHELL-1 which includes speech recorded from 400 speakers [40]. The corpus contains audio recordings and a metadata file that contains the prompts the participants read. Notifications You must be signed in to change notification settings; Fork 16; Star 37. The corpus contains 29. Summary: Pronunciation scoring dataset, labeled independently by five human experts. A baseline system is released in open source to illustrate the phoneme Sep 18, 2022 · The first industrial-scale open-source Kazakh speech corpus for automatic speech recognition research and development is presented, which contains over a thousand hours of high-quality transcribed data, which is triple the size of KSC. SD) Cite as: About this resource: Language modeling resources to be used in conjunction with the (soon-to-be-released) LibriSpeech ASR corpus. We present a new open access corpus for the training and evaluation of EMG-to-Speech conversion systems based on array electromyographic recordings. Sample: 能陪产就陪产，老婆生孩子太不容易了。. Also, about 1,200 hours of speech corpus is provided to be used in spoken language modeling10. Applications. : got VERB-ed, BUY * ADJ NOUN, "gorgeous" NOUN-- and even high frequency phrases like: from ADJ to ADJ, phrasal verbs, or NOUN NOUN. Most speech corpora also have additional text files containing transcriptions of the words spoken and the time each word occurred in the recording. Aug 30, 2021 · Speechocean762 is an open-sourced speech assessment corpus with 5,000 utterances collected from 250 speakers [27]. Therefore, the corpus is totally free for academic use. 25 hours of transcribed Guangzhou Cantonese conversational speech This open-source dataset consists of 4. ,Ltd. MASC is a balanced subset of 500K words of written texts and transcribed speech drawn primarily from the Open American National Corpus (OANC). All utterances were carefully transcribed and checked by human. All speech data in the corpus was recorded in quiet environment and is suitable for various speech pro- Dec 13, 2019 · The Common Voice corpus is a massively-multilingual collection of transcribed speech intended for speech technology research and development. Jan 27, 2022 · Common Voice 8 is the most diverse multilingual open speech corpus in the world. Ajinkya Kulkarni, Atharva Kulkarni, Sara Abedalmonem Mohammad Shatnawi, Hanan Aldarmaki. It consists of 22200 text-audio pairs with the total audio duration being 31 h 32 min and exceeds the second largest Russian corpus for a single speaker by 50%. This corpus and these resources were prepared by Vassil Panayotov with the assistance of Daniel Povey and Sanjeev Khudanpur. Jul 24, 2019 · We present RUSLAN spoken language corpus – the largest Russian open speech corpus for a single speaker for the text-to-speech task. Contact khia. “speechocean762” designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native Sep 1, 2023 · The Buckeye Corpus consists of connected speech from 40 different adult speakers, also described as speaking MAE. You can now train an AI model just for your voice using CV and Coqui STT . It is now 18,000 hours, and 13 million voice clips - generated entirely by 200,000+ volunteer contributors around the world. All speech data in the corpus is recorded in quiet environment and is suitable for various speech processing tasks, such as voice conversion, multi-speaker text-to-speech and automatic speech Sep 18, 2022 · tives, it is currently gaining momentum [9]. 6 hour speech recordings contributed by 389 volunteer speakers, including 186 males and 203 females. Index Terms: arabic speech corpus, text-to-speech 1. - open-speech-corpus May 9, 2019 · To the best of the knowledge, this work is the first open-source English speech corpus that accounts for the accents of all major Chinese regional dialects and provides a baseline for Chinese multiple accented automatic speech recognition system. The aim is to create an open-source speech corpus to enable research and development for Icelandic Language Technology. com), Wonkyum Lee (wonkyum@gridspace. Apr 1, 2023 · Furthermore, inter-annotator agreement at the phoneme level in the BLCU speech corpus ranged from 77% to 84. BibleTTS. To convert the files into a wav format, first install ffmpeg , then you can execute the recursive_convert utility which receives as first argument the source_folder with the mp4 files and as second argument the output folder i. [1] In linguistics, spoken corpora are used to do research into Oct 19, 2020 · This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. ai), containing utterances from 855 speakers, 102600 utterances; SLR39 : Heroico Speech Spanish data, mirrored from the LDC SLR40 : Zeroth-Korean Speech Corpus for Automatic Speech Recognition Mar 19, 2024 · We’re building an open source, multi-language dataset of voices that anyone can use to train speech-enabled applications. Sample: "Sepanjang pertandingan, saya telah melihat banyak hal. gz [318K] (Documents of LibriTTS-R ) Mirrors: [US] [EU] [CN] Jan 27, 2022 · The most diverse multilingual open speech corpus in the world, Common Voice 8 contains 87 languages and 200,000 different voices. All speech data in the corpus is recorded in quiet environment and is suitable for various speech processing tasks, such as voice conversion, multi-speaker text-to-speech and automatic speech Sep 22, 2020 · Abstract and Figures. Downloads (use a mirror closer to you): ST-CMDS-20170001_1-OS. 7% (Cao et al. Yoruba is one Jan 1, 2021 · the largest open-source speech corpus in Kazakh. ASR Corpus. This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. The purpose of the Almannarómur project is collecting data for a speech corpus (database) for Icelandic. This American-English speech corpus (which is also available in a British-English version; Kitterick et al. corpus will be made publicly available at www. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned. Its main aim is creating an open source speech project to enable This paper introduces a new open-source speech corpus named “speechocean762” designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children. 0. Recently, some new datasets have been distributed on wellness and emotional dialog, so that many people can have trials for social good and public AI. Acoustic speech data and meta-data from The AMI corpus. This corpus consists of 5000 English sentences. 78 hours of utterances with prompts of short paragraphs and common phrases Sep 16, 2022 · This corpus, named ANTILLES, is an extended version of the free-to-use UD French-GSD corpus, integrating additional POS tags based on a set of associated morphological data. 7 hours Kham dialect, including 3. Kazakh have been introduced: 1) Kazakh speech corpus. The corpus is a subset of a much bigger data ( 10566. Large-scale (1000 hours) corpus of read English speech. TEDLIUM release 2. In addition, the Google-synth dataset is Description. The LT and the Teleccoperation group have open sourced their German spoken language corpus, recorded over 2014 and 2015 using several speakers from their department. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , pages 697–706, Online. , 2010). Identifier: SLR101. gz [8. Dec 7, 2015 · In this paper, we follow this trend and release a free Chinese speech database THCHS-30 that can be used to build a full- edged Chinese speech recognition system. We present an open-source speech corpus for the Kazakh language. We release aligned speech and text for six languages spoken in Sub-Saharan Africa, with unaligned data for four additional languages, derived from the Biblica open. The corpus covers an effective real- and apparent-time span of around 100 years. We have also implemented numerous POS tagging tools, then evaluated the performance of various state-of-the-art neural network architectures to give an idea of the current Jan 1, 2014 · One corpus that has been used extensively in speech-on-speech research is the coordinate response measure (CRM) (Bolia et al. The manual transcription accuracy is Feb 28, 2023 · ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus. TED-LIUMv2 Identifier: SLR19 Summary: TED-LIUM corpus release 2, English speech recognition training corpus from TED talks, created by Laboratoire d’Informatique de l’Université du Maine (LIUM) (mirrored here) Sep 19, 2022 · In the research, the accuracy of the method on the English vocabulary and speech corpus recognition based on the deep learning algorithm increased 79% over the previous methods. < Back. The Open American National Corpus. 0 license Oct 28, 2020 · Abstract and Figures. Jesin James 1, Li T ian 1, Catherine Inez W atson 1. This paper introduces a new open-source speech corpus named “speechocean762” designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children. This includes men and women under 30 as well as over 40 years old. In speech technology, speech corpora are used, among other things, to create acoustic models (which can then be used with a speech recognition or speaker identification engine). And because the corpus is optimized for speed, searches for substrings (*ism, un*able) and phrases are very fast, e. License. Our corpus subsumes two Jun 14, 2018 · An open-source Mandarin speech corpus called AISHELL-1 is released. johnson@ubc. Alternative Host. com) Dec 17, 2021 · In this paper, we construct a new Japanese speech corpus called "JTubeSpeech. In AISHELL-2, 1000 hours of clean read-speech data from iOS is published, which is free for academic usage. The preparation of the related resources, including transcriptions and We present SELL-CORPUS, a multiple accented speech corpus for L2 English learning in China, aiming at the potential research of multiple accented acoustic model, mispronunciation detection and pronunciation assessment for future nationwide oral English tests. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. Dec 17, 2021 · In this paper, we construct a new Japanese speech corpus called "JTubeSpeech. io/ for details regarding access, design, and research with the corpus. This paper introduces a new open-source speech corpus named. 2G] ( speech audios and transcripts ) Mirrors: [US] [EU] [CN] About this resource: This corpus were recorded in silence in-door environment using cellphone. Identifier: SLR12. Introduction Neural text-to-speech (TTS) models are becoming mainstream due to their superior performance in synthesizing intelligible and natural-sounding speech. We present SELL-CORPUS, a multiple accented speech corpus for L2 English learning in China, aiming at the potential research of multiple accented Mar 2, 2024 · This paper introduces a new open-source speech corpus named “speechocean762” designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children. Kazakh is an agglutinative language with vowel harmony and belongs to the family of Turkic languages. The speeches are in *. In our experiments, the corpus was divided into three sets May 13, 2020 · This paper introduces an opensource crowdsourced multispeaker speech corpus along with the comprehensive set of finitestate transducer (FST) grammars for performing text normalization for the This release has been authorized for release in May 2021. upon request at this link. mp3 format while the transcript file is in *. qing6 jian3 su4 man4 xing2. To the best of our knowledge, this is the first open-source Uzbek speech corpus dedicated to the ASR task. Category: Speech. All speech data are manually labeled and the transcriptions are proofed by professional inspectors to ensure the labeling quality. During the Soviet pe-riod, the Kazakh language was overwhelmed A crowdsourced open-source speech corpus for the Kazakh language. LibriSpeech. 2. This open-source dataset consists of 3. The Kazakh speech corpus (KSC) contains around 332 hours of transcribed audio comprising over 153,000 utterances spoken by participants from different regions and age groups, as well as both genders. Acoustic models, trained on this data set, are available at Oct 25, 2020 · A new open access corpus for the training and evaluation of EMG-to-Speech conversion systems based on array electromyographic recordings, and includes evaluation data recorded from both audible as well as silent speech. tar. VCTK. readthedocs. The TED-LIUM corpus was made from audio talks and their transcriptions available on the TED website. LDC-IL collected speech data from Malwa, Doab and Puadh regions. Publicly available TTS corpora are often noisy, recorded with multiple speakers, or lack quality male speech data. Sep 22, 2020 · A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline. It consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and the corresponding texts. To ensure high quality, the USC has been manually checked by native speakers. ji2 jiang1 dao4 da2 ao4 te4 lai2 si1. com for research purposes, along with the baseline TTS systems demo. “speechocean762” designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native There are six main ways to search the corpus: 1. The MagicData-RAMC corpus contains 180 hours of conversational speech data recorded from native speakers of Mandarin Chinese over mobile phones with a sampling rate of 16 kHz. , 2010) was specifically designed for investigating speech intelligibility in competing-speech situations. The corpus has about 35 hours of speech. Also, open Open-Speech-EkStep / ULCA-asr-dataset-corpus Public. In order to meet the need for a high quality, publicly available male speech corpus within the field of speech recognition, we have designed and created RyanSpeech which Sep 2, 2018 · An Open Source Emotional Speech Corpus f or Human Robot Interaction. A list of words in Spanish with frequency derived from a large corpus (Spanish Gigaword). We report the baseline system established with this database, including the performance under highly noisy conditions. Apr 3, 2021 · This paper introduces a new open-source speech corpus named "speechocean762" designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children. The recording procedure, including audio capturing devices and environments are presented in details. The audio files in this data are all in 16k sampling rate and 16-bit precision. The corpus is recorded with May 7, 2012 · Abstract and Figures. When you conduct research on speech you can either (1) record your own data or (2) use a ready-made speech corpus. 54 hours of transcribed Indonesian conversational speech This open-source dataset consists of 4. Multilingual LibriSpeech (MLS) dataset is a large multilingual corpus suitable for speech research. Summary: Large-scale (1000 hours) corpus of read English speech. 0 Downloads (use a mirror closer to you): doc. We present the first industrial-scale open-source Kazakh speech corpus for automatic speech recognition research and development. Aug 31, 2018 · AISHELL-1 is by far the largest open-source speech corpus available for Mandarin speech recognition research. Our method can We present an open-source speech corpus for the Kazakh language. The Kazakh speech corpus (KSC) contains around 335 hours of transcribed audio comprising over 154,000 1 Introduction. %A Babel, Molly %A Fong, Ivan %A Yiu, Nancy %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y The corpus contains 180 hours of speech data, which is all mobile recorded data. ASR Resources. Search for phrases and strings. surfing. At present, Text-to-speech (TTS) systems that are trained with high-quality transcribed speech data using end-to-end neural models can generate speech that is intelligible, natural, and closely We present an open-source speech corpus for the Kazakh language. We sampled the first 5 female speakers under 30 from the Buckeye corpus because they are most similar in age and gender to the mothers in our IDS corpus. Common Voice is designed for Automatic Speech Recognition purposes but can be useful in other domains (e. language identification). Department of Electrical and Computer Engineering Jul 31, 2020 · 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-datasets (approximately 30 hours in total) released publicly in 2018 by FPT Corporation. It was initially released in May 2021. Free ST Chinese Mandarin Corpus Speech A free Chinese Mandarin corpus by Surfingtech (www. For a total Speech corpus – a large collection of audio recordings of spoken language. An open source database of hand-segmented Dutch speech was constructed with off-the-shelf software using speech from 8 speakers in a variety of speaking styles. Around 10. Aishell is an open-source Chinese Mandarin speech corpus published by Beijing Shell Shell Technology Co. This open dataset is large enough to train speech-to Sep 16, 2017 · The developed corpus is named after the VoiceBank-2023 speech corpus because of its release year. License: CC BY 4. SpiCE is an open-access corpus of conversational bilingual Speech in Cantonese and English. See the documentation https://spice-corpus. License: Attribution 4. Zeroth project introduces free Korean speech corpus and aims to make Korean speech recognition more broadly accessible to everyone. " Although recent end-to-end learning requires large-size speech corpora, open-sourced such corpora for languages other than English have not yet been established. About this resource: LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. 3%, with an average of 80. It was constructed in order to examine changes in Glaswegian pronunciation over time. We hope to finalize this and release the corpus here by the ICASSP deadline (early October Sep 18, 2022 · For pre-taining, we use an open source corpus called RAMC [22], which contains roughly 180 hours of spontaneous conversational speech with 351 groups of multi-round Mandarin conversations by 663 This open-source dataset consists of 200 sentences of annotated female voices for navigator language in Mandarin Chinese that is applicable for Text-to-Speech Synthesis. We believe that large, publicly available voice datasets will foster innovation and healthy commercial competition in machine-learning based speech technology. It has 855 speakers. ). We present an open-source Kazakh speech corpus (KSC) constructed to advance the development of speech and language processing applications for the Kazakh language. About 180 speakers have read aloud sentences from German Wikipedia, protocols from European Parliament and some individual commands. Each speaker recorded these datasets which are randomly selected from a master dataset. The dataset is useful for several Sep 16, 2017 · An open-source Mandarin speech corpus called AISHELL-1 is released. In this paper, we describe the construction of a corpus from YouTube videos and subtitles for speech recognition and speaker verification. All data and annotations are fully open and unrestricted for any use. CL); Sound (cs. bible project. lao3 po5 seng1 hai2 zii5 tai4 bu4 yong2 yi4 le5. Apr 3, 2021 · Abstract. The MLCommons People’s Speech Dataset is among the world’s largest English speech recognition corpus today that is licensed for academic and commercial usage under CC-BY-SA and CC-BY 4. 9 hours Chinese Mandarin Speech Corpus ) set which was recorded in the same environment. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish. Our corpus contains 31. Sample: 即将#1到达#2奥特#1莱斯#3，请#1减速#1慢行#4。. The OANC is a 15 million word (and growing) corpus of American English produced since 1990, all of which is in the public domain or otherwise free of usage and redistribution restrictions. 663 speakers from different accent areas in China are invited to participate in the recording. The Kazakh speech corpus (KSC) contains around 332 hours of transcribed audio comprising over 153,000 utterances spoken by participants from different regions and age groups, as well as both Apr 3, 2021 · This paper introduces a new open-source speech corpus named "speechocean762" designed for pronunciation assessment use, consisting of 5000 English utterances from 250 non-native speakers, where half of the speakers are children. txt format with utf-8 encoding scheme. %0 Conference Proceedings %T SpiCE: A New Open-Access Corpus of Conversational Bilingual Speech in Cantonese and English %A Johnson, Khia A. 4 hours Yushu dialect, 3. On top of AISHELL-2 corpus, an improved recipe is developed and released @inproceedings{wang-etal-2021-voxpopuli, title = "{V}ox{P}opuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation", author = "Wang, Changhan and Riviere, Morgane and Lee, Ann and Wu, Anne and Talnikar, Chaitanya and Haziza, Daniel and Williamson, Mary and Pino, Juan and Dupoux, Emmanuel", booktitle = "Proceedings of the 59th Summary: Sound quality improved version of the LibriTTS corpus which is a large-scale corpus of English speech designed for TTS use Category: Speech License: CC BY 4. Common Voice’s multi-language dataset is already the largest LibriSpeech ASR corpus. 0 International License 3. 0) About this resource: This corpus aims to provide a free public dataset for the pronunciation scoring task. To achieve scale and sustainability, the Common Voice project employs crowdsourcing for both data collection and data Open Speech and Language Resources. The Open Speech Corpus stores its files in mp4 format, which is undesired for most audio processing tasks. It is by far the largest corpus which is suitable for conducting the speech recognition research and building speech recognition systems for Mandarin. Contact: Lucas Jo (lucasjo@goodatlas. The authors have prepared and filtered these data in order to train acoustic models to participate to the Jul 25, 2020 · Sounds of the City is a real-time corpus of 163 speakers of Glaswegian English (141 vernacular Scots; 22 Standard Scottish English). common sense, open dialog, machine reading com-prehension, and machine translation. The resource consists of 30 hours Lhasa-Ü-Tsang dialect; 8. 0 International (CC BY 4. An additional problem with the manual approach is that it tends to be expensive and time consuming due to the scarcity of professionals in the domain ( Peabody and Seneff, 2009 ). The Open American National Corpus (OANC) is a massive electronic collection of American English, including texts of all genres and transcripts of spoken data produced from 1990 onward. 3 hours Dege dialect and 2 hours Changdu dialect; 10 hours Amdo pastoral Jan 1, 2021 · the largest open-source speech corpus in Kazakh. (KSC) [10] and 2) Kazakh text-to-speech 2 Sep 3, 2001 · An open source database of hand-segmented Dutch speech was constructed with off-the-shelf software using speech from 8 speakers in a variety of speaking styles to study asymptotic segmentation speed and label differences. Combined with the principle of the deep automatic encoder and deep learning algorithm, the research emphasis was on the effects of speech recognition framework for The LDC-IL Punjabi Speech data set consists of different types of datasets that are made up of word lists, sentences, running texts and date formats. 25 hours of transcribed Guangzhou Cantonese conversational speech on certain topics, where ten conversations between ten pairs of speakers were contained. ca with any questions. The available Speech Corpus details: This open-source dataset consists of 200 sentences of annotated male voices in Tianjin dialect that is applicable for Text-to-Speech Synthesis. e. Our method can Jan 27, 2022 · Common Voice 8 is the most diverse multilingual open speech corpus in the world. " < Back. Open Speech Corpus is a voice sample collection and validation tool that helps researchers and engineers to collect and validate voice samples through Crowdsourcing. BibleTTS is a large high-quality open Text-to-Speech dataset with up to 80 hours of single speaker, studio quality 48kHz recordings for each language. For ByteRead, the train/dev/test sets are split as 10k/2k/2k and train/test sets 4. . Recently, two major open-source speech corpora for. 4GB. TED-LIUMv2 Identifier: SLR19 Summary: TED-LIUM corpus release 2, English speech recognition training corpus from TED talks, created by Laboratoire d’Informatique de l’Université du Maine (LIUM) (mirrored here) Apr 3, 2021 · Abstract. 5 hours of transcribed Indonesian scripted speech focusing on daily use sentences, where 3,296 utterances contributed by ten speakers were contained. Consists of train, dev and test sets for each language. and is available for academic and commercial use. The dialogs in MagicData-RAMC are classified into 15 diversified domains and tagged with topic labels, ranging from science and technology to ordinary life. 54 hours of transcribed Indonesian conversational speech on certain topics, where seven conversations between two pairs of speakers were contained. , 2000). clartts. Each speaker has 120 utterances. Five experts annotated each of the utterances at sentence-level, word-level and phoneme-level. A database of simulated and real room impulse responses, isotropic and point-source noises. The KSC contains around 332 hours of transcribed audio comprising over 153,000 utterances spoken by participants from different regions and age groups, as well as both genders. This paper introduces an open-source speech dataset for Yoruba --- one of the largest low-resource West African languages spoken by at least 22 million people. It can be used for Tibetan multi-dialect speech recognition, Tibetan speaker recognition, Tibetan dialect identification, and Tibetan speech synthesis. under the Creative Com-mons Attribution 4. g. This project was developed in collaboration between Lucas Jo (@Atlas Guide Inc. 400 people from different accent areas in China are invited to participate in the recording, which is conducted in a quiet indoor environment using high fidelity microphone and downsampled to 16kHz. CC-BY-4. Our corpus 6 days ago · A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline. hy wb br mv hv kw pm is id si