datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
peoples_speech
Dataset Card for People's Speech
Dataset Summary
The 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 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license.
Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/peoples_speech.yodas2_sidon
YODAS2-Sidon
Overview
This dataset is a cleansed version of YODAS-2 with Sidon speech restoration mode for Speech Synthesis and Spoken Language Modeling.
YODAS-2 is a massive, multilingual YouTube-derived dataset. We have applied the Sidon restoration model to remove background noise and enhance audio quality, making it suitable for high-quality generation tasks.
We resampled original sidon output to 24kHz due to a storage constraints.
The dataset is provided in… See the full description on the dataset page: https://huggingface.co/datasets/sarulab-speech/yodas2_sidon.gigaspeech
Dataset Card for Gigaspeech
Dataset Description
GigaSpeech is an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training. The transcribed audio data is collected from audiobooks, podcasts and YouTube, covering both read and spontaneous speaking styles, and a variety of topics, such as arts, science, sports, etc.
Example Usage
The training split has several configurations of… See the full description on the dataset page: https://huggingface.co/datasets/speechcolab/gigaspeech.SpeechRu
Russian Podcasts (unlabeled)
~186k unlabeled Russian-language podcast episodes scraped from the web,
packaged as Parquet shards with the audio bytes embedded. The audio has no
transcripts — this is an unsupervised / self-supervised audio corpus,
suitable for ASR pre-training, speech-representation learning, TTS data
mining, audio classification, and similar tasks.
Each row contains:
audio — the podcast episode (MP3, mostly 128 kbps / 44.1 kHz stereo),
decoded on-the-fly via the… See the full description on the dataset page: https://huggingface.co/datasets/Sinoosoida/SpeechRu.LoquaciousSet
LargeScaleASR: 25,000 hours of transcribed and heterogeneous English speech recognition data for research and commercial use.
The full details are available in the paper.
Made of 6 subsets:
large contains 25,000 hours of read / spontaneous and clean / noisy transcribed speech.
medium contains 2,500 hours of read / spontaneous and clean / noisy transcribed speech.
small contains 250 hours of read / spontaneous and clean / noisy transcribed speech.
clean contains 13,000 hours of read… See the full description on the dataset page: https://huggingface.co/datasets/speechbrain/LoquaciousSet.gigaspeech2
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. GigaSpeech 2 raw comprises about 30,000 hours of automatically transcribed speech, across Thai, Indonesian, and Vietnamese. GigaSpeech 2 refine consists of 10,000 hours of Thai, 6,000 hours each for Indonesian and Vietnamese.
Repository: https://github.com/SpeechColab/GigaSpeech2
Paper:… See the full description on the dataset page: https://huggingface.co/datasets/speechcolab/gigaspeech2.ghana-speech-ipa
Ghana Speech — Audio with IPA Transcripts
Speech with both transcript forms: the original orthography and the IPA phoneme
sequence read off the audio by ASR. Each language is a subset, with real
train/validation splits.
from datasets import load_dataset
ds = load_dataset("ghanaopendata/ghana-speech-ipa", "Akuapem_Twi_twi", split="train")
ds[0]["audio"] # decoded waveform, 16 kHz
ds[0]["text"] # original orthography
ds[0]["ipa"] # IPA phonemes
369,347 clips · ~747 h… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/ghana-speech-ipa.legco-speech
香港立法會會議語音數據集
本數據集係由香港立法會會議製成嘅大規模語音數據集。原始錄音總時長 22,196 個鐘，切分語音後總時長 20,471 個鐘。數據集分兩個子集，raw同segmented，分別為原始錄音同VAD識別切分後嘅語音。
數據集製作流程
先去香港特別行政區立法會 YouTube下載所有會議紀錄並轉為 16kHz 採樣率嘅 OPUS音頻
用 fsmn-vad 切分所有語音，並用 Qwen3-ASR-1.7B 轉寫成粵文 srt 字幕
轉寫後用正則表達式修正字幕中常見轉寫錯誤
將數據集分成 raw、 segmented 兩個子集傳到HF
子集 subset
raw
segment
總行數 Row number
14,036
9,557,109
總時長 Total duration
22,195.55 hr (79,903,980.00 s)
20471.21 hr (73,696,365.27 s)
平均時長 Average duration
1.58 hr (5692.79 s)
7.71… See the full description on the dataset page: https://huggingface.co/datasets/laubonghaudoi/legco-speech.japanese-anime-speech-v2
Japanese Anime Speech Dataset V2
日本語はこちら
japanese-anime-speech-v2 is an audio-text dataset designed for training automatic speech recognition models.
The dataset comprises 292,637 audio clips and their corresponding transcriptions from various visual novels.
This dataset is not an updated version of japanese-anime-speech-v1.
For that reason, most of the audio from japanese-anime-speech-v1 is not included in this dataset.
The goal of this dataset is to increase the accuracy of… See the full description on the dataset page: https://huggingface.co/datasets/joujiboi/japanese-anime-speech-v2.Speech-MASSIVE
Speech-MASSIVE
Dataset Description
Speech-MASSIVE is a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus. Speech-MASSIVE covers 12 languages (Arabic, German, Spanish, French, Hungarian, Korean, Dutch, Polish, European Portuguese, Russian, Turkish, and Vietnamese) from different families and inherits from MASSIVE the annotations for the intent prediction and slot-filling tasks. MASSIVE… See the full description on the dataset page: https://huggingface.co/datasets/FBK-MT/Speech-MASSIVE.khmer-speech-dataset
Khmer ASR Cultural Dataset
727.94 hours of manually curated speech-text pairs by native speakers in the Khmer language about Cambodian cultural topics. On average, each recording is 8 seconds. Speaker metadata (gender, age group, and origin city) is provided.
Language: Khmer (khm).
Source(s): Native speakers from Cambodia (5 females, 7 males). The utterances were manually generated based on topics and subtopics listed in metadata.
Domain(s): Cultural domain, with a total of 61… See the full description on the dataset page: https://huggingface.co/datasets/Digital-Divide-Data/khmer-speech-dataset.speechocean762
speechocean762: A non-native English corpus for pronunciation scoring task
Introduction
Pronunciation scoring is a crucial technology in computer-assisted language learning (CALL) systems. The pronunciation quality scores might be given at phoneme-level, word-level, and sentence-level for a typical pronunciation scoring task.
This corpus aims to provide a free public dataset for the pronunciation scoring task.
Key features:
It is available for free download for both… See the full description on the dataset page: https://huggingface.co/datasets/mispeech/speechocean762.kasem-speech-text-parallel
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
Kasem Speech-Text Parallel Dataset
Dataset Description
This dataset contains 75990 parallel speech-text pairs for Kasem, a language spoken primarily in Ghana. The dataset consists of audio recordings paired with their… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/kasem-speech-text-parallel.open-bible-speech-african
Open Bible Resources — African Languages
Spoken-audio Bible recordings aligned to verse-level text for 19 African languages —
roughly 1,741 hours of audio across ~552,907 audio–text pairs (~357 GB).
This dataset is the African-language subset of
davidguzmanr/open-bible-resources,
re-hosted here by AfriSpeech to make the African
languages easy to find and use on their own. The audio and text are unchanged from the
source; only the non-African configurations have been removed. All… See the full description on the dataset page: https://huggingface.co/datasets/AfriSpeech/open-bible-speech-african.Speech2Latex
Speech2Latex Dataset
The Speech2LaTeX dataset is the first fully open-source large-scale dataset for converting spoken mathematical expressions and sentences into LaTeX. It comprises over 66,000 human-annotated audio samples of mathematical equations and sentences in both English and Russian, drawn from diverse scientific domains. This work lays the groundwork for future advances in multimodal AI, with a particular focus on mathematical content recognition.
The dataset was presented… See the full description on the dataset page: https://huggingface.co/datasets/marsianin500/Speech2Latex.common-voice-scripted-speech-26
Common Voice Scripted Speech
A row-normalized multilingual ASR dataset built from Mozilla Data Collective
Common Voice Scripted Speech. Each upstream archive is converted to appendable
parquet shards under data/<upstream_split>/, one shard per source archive and
split, with audio bytes embedded in an audio struct column.
Status
Manifest languages: 60
Languages uploaded: 18
Columns
audio (bytes, path)
sentence, locale, language, upstream_split… See the full description on the dataset page: https://huggingface.co/datasets/Peacockery/common-voice-scripted-speech-26.Persian-Farsi-Speech
Persian (Farsi) TTS Dataset
🗂️ Dataset Description
This dataset is a Persian (Farsi) text-to-speech (TTS) corpus built by concatenating and denoising multiple existing Farsi datasets.It is intended for training and evaluation of speech synthesis (TTS) models in Persian.
Since the basic datasets were contaminated with unintelligible audio, I used dnsmos to keep only clean audio (mos_ovr >= 3.0, same value as for the Emilia dataset).
The dataset contains two main… See the full description on the dataset page: https://huggingface.co/datasets/Thomcles/Persian-Farsi-Speech.ghana-english-speech-600hrs
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
🇬🇭 Ghana English ASR Dataset
A speech dataset of Ghanaian English extracted from Ghanaian news media broadcasts,
designed for training and fine-tuning Automatic Speech Recognition (ASR) models on
West African English accents.… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/ghana-english-speech-600hrs.gemini-flash-2.0-speech
🎙️ Gemini Flash 2.0 Speech Dataset
This is a high quality synthetic speech dataset generated by Gemini Flash 2.0 via the Multimodal Live API. It contains speech from 2 speakers - Puck (Male) and Kore (Female) in English.
🏅 #1 Trending Audio Dataset in Feb 2025
🏅 Used in training of Kokoro TTS and LLaSA 1B
〽️ Stats
Total number of audio files: 47,256*2 = 94512Total duration: 1023527.20seconds (284.31 hours)
Average duration: 10.83 seconds
Shortest file: 0.6… See the full description on the dataset page: https://huggingface.co/datasets/shb777/gemini-flash-2.0-speech.japanese-anime-speech
Japanese Anime Speech Dataset
日本語はこちら
japanese-anime-speech is an audio-text dataset designed for the training of automatic speech recognition models. The dataset is comprised of thousands of audio clips and their corresponding transcriptions from different visual novels.
The goal of this dataset is to increase the accuracy of automatic speech recognition models, such as OpenAI's Whisper, in accurately transcribing dialogue from anime and other similar Japanese media. This genre is… See the full description on the dataset page: https://huggingface.co/datasets/joujiboi/japanese-anime-speech.ga-speech-text-parallel-90k
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
This dataset is made available because of Ghana NLP's volunteer driven research work. Please consider contributing to any of our projects on Github
Ga Speech-Text Parallel Dataset
Dataset Description
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/ga-speech-text-parallel-90k.Speechio-Formal
Speechio-Formal
A Chinese ASR evaluation benchmark dataset based on SpeechIO LEADERBOARD, re-annotated with formal written-style transcriptions.
Dataset Description
SpeechIO is a widely-used Chinese ASR benchmark covering 27 diverse subsets (ZH00000–ZH00026), spanning domains such as finance, technology, entertainment, news, and daily conversations.
This dataset provides:
original_text: The original verbatim transcription (口语原文，含语气词、重复等)
target_text: Formal… See the full description on the dataset page: https://huggingface.co/datasets/TaurenMountain/Speechio-Formal.khmer-speech-dataset
Khmer ASR Cultural Dataset
727.94 hours of manually curated speech-text pairs by native speakers in the Khmer language about Cambodian cultural topics. On average, each recording is 8 seconds. Speaker metadata (gender, age group, and origin city) is provided.
Language: Khmer (khm).
Source(s): Native speakers from Cambodia (5 females, 7 males). The utterances were manually generated based on topics and subtopics listed in metadata.
Domain(s): Cultural domain, with a total of 61… See the full description on the dataset page: https://huggingface.co/datasets/phonsobon/khmer-speech-dataset.amharic-speech
Dataset.ET Amharic Speech — v0.2.0
51.547 hours · 16,866 clips · 493 speakers · 15,443 distinct prompts
Dataset Summary
Read speech in Amharic, crowdsourced from volunteer contributors in Ethiopia
through a Telegram bot, peer-validated by other contributors, and screened
acoustically before release. Amharic has very little open speech data; this
corpus exists to change that.
Contributors read a displayed prompt aloud, other contributors listen and vote on
whether… See the full description on the dataset page: https://huggingface.co/datasets/snapwre/amharic-speech.twi-trigrams-speech-text-parallel
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
Twi Trigrams Speech-Text Parallel Dataset
Dataset Description
This dataset contains 166156 parallel speech-text pairs for Twi, a language spoken primarily in Ghana. The dataset consists of audio recordings of trigram… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/twi-trigrams-speech-text-parallel.Treble10-Speech
Treble10-Speech (16 kHz)
The Treble10-Speech dataset is a dataset for automatic speech recognition (ASR), containing pre-convolved speech files using high fidelity room-acoustic simulations from the Treble10-RIR dataset with 10 different furnished rooms: 2 bathrooms, 2 bedrooms, 2 living rooms with hallway, 2 living rooms without hallway, 2 meeting rooms.
The room volumes range between 14 and 46 m3, resulting in reverberation times between 0.17 and 0.84 s.
Examples:… See the full description on the dataset page: https://huggingface.co/datasets/treble-technologies/Treble10-Speech.peoples_speech
Dataset Card for People's Speech
Dataset Summary
The 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 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license.
Supported Tasks… See the full description on the dataset page: https://huggingface.co/datasets/hirabutt/peoples_speech.ethiopian-languages-speech-dataset
Leyu Ethiopian Languages Speech Dataset
Audio recordings paired with corresponding text transcripts, collected on the Leyu Data Collection Platform — an open-source platform for crowdsourced speech data collection — for the Leyu Platform Competition, covering 4 languages: Amharic, Afaan Oromo, Sidama, Tigrinya.
Dataset Summary
Languages: Amharic (am), Afaan Oromo (om), Sidama (sid), Tigrinya (ti)
Total examples: 2750
License: CC-BY-4.0
Task categories: Automatic… See the full description on the dataset page: https://huggingface.co/datasets/Benji-fish/ethiopian-languages-speech-dataset.navigation-corpus-dagbani-speech
This dataset is shared under CC BY-NC 4.0, which means you are free to use, share, and adapt it for non-commercial research and educational purposes with attribution. You can read the full license at https://creativecommons.org/licenses/by-nc/4.0/.
Dag Speech Segments (sentence splitting)
52799 speech-text pairs split from long recordings.
Processing pipeline
Source audio from ghananlpcommunity/navigation-corpus-speech-full-dagbani
Full-file CTC forced… See the full description on the dataset page: https://huggingface.co/datasets/ghanaopenai/navigation-corpus-dagbani-speech.Galgame_Speech_SER_16kHz
Dataset Card for Galgame_Speech_SER_16kHz
[!IMPORTANT]The following rules (in the original repository) must be followed:
必须遵守GNU General Public License v3.0内的所有协议！附加：禁止商用，本数据集以及使用本数据集训练出来的任何模型都不得用于任何商业行为，如要用于商业用途，请找数据列表内的所有厂商授权（笑），因违反开源协议而出现的任何问题都与本人无关！
训练出来的模型必须开源，是否在README内引用本数据集由训练者自主决定，不做强制要求。
English:
You must comply with all the terms of the GNU General Public License v3.0!Additional note: Commercial use is prohibited. This dataset and any model trained using this dataset… See the full description on the dataset page: https://huggingface.co/datasets/litagin/Galgame_Speech_SER_16kHz.