datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
suno-ai-music-dataset
Suno AI Music Dataset (Multi-Genre Curated)
A human-curated, multi-genre audio dataset generated with Suno V5.5 (chirp-fenix), covering 100+ sub-sub-genres across electronic, hip-hop, Latin, jazz, world, rock, ambient, pop, reggae, and classical music. Each track ships with full audio (MP3), cover art, the original generation prompt, and a 32-column metadata schema designed for downstream audio-ML research.
This is not a "scrape everything Suno produces" dump. It is a… See the full description on the dataset page: https://huggingface.co/datasets/Kukedlc/suno-ai-music-dataset.Nemotron-Content-Safety-Audio-Dataset
Nemotron Content Safety Audio Dataset
Dataset Description
The Nemotron Content Safety Audio Dataset is a multimodal extension of the Nemotron Content Safety Dataset V2 (Aegis 2.0), comprising 1,928 audio files generated from the test set prompts. This dataset enables multimodal AI safety research by providing spoken versions of adversarial and safety-critical prompts across 23 violation categories.
LANGUAGE: All prompts are in English. However, the audio files were… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Content-Safety-Audio-Dataset.tigre-hubert-dataEgoAVU_data
[CVPR2026 HIGHLIGHT] EgoAVU, [ICASSP2026 Oral] Exploring Audio Hallucination in Egocentric Video Understanding
Official Implementation of EgoAVU: Egocentric Audio-Visual Understanding and Exploring Audio Hallucination in Egocentric Video Understanding
See our github for the code and setup instructions.
Check out our homepage, paper (CVPR) and paper (ICASSP) for more information.
We introduce EgoAVU, a scalable and automated data engine to enable egocentric audio–visual… See the full description on the dataset page: https://huggingface.co/datasets/facebook/EgoAVU_data.MADB-Dataset
MADB: Music Aesthetics Dataset and Benchmark
Dataset Description
MADB is a large-scale dataset for music aesthetic evaluation, designed to support research on multi-dimensional and subjective music perception.
The dataset contains approximately 10,000 music tracks, each annotated by multiple trained annotators across 10 perceptual dimensions and one overall score. In addition, each track includes textual comments and semantic tags (genre and mood), enabling… See the full description on the dataset page: https://huggingface.co/datasets/sirui1/MADB-Dataset.pao-audio-dataset
🎙️ Pa'O Audio Dataset
ပအိုဝ်ႏ အငေါဝ်း အဆင်ႏဗာႏ ရွမ်ခြွဉ်းဗူႏ
📌 Project Summary
The Pa'O Audio Dataset is an open-source initiative created to facilitate the development of speech technologies and Artificial Intelligence tools for the Pa'O language (ပအိုဝ်ႏဘာႏသာႏငေါဝ်းငွါ).
Pa'O is primarily spoken in Shan State and other regions of Myanmar. As a low-resource language in the AI landscape, this dataset provides audio recordings and corresponding… See the full description on the dataset page: https://huggingface.co/datasets/paodigitalhub/pao-audio-dataset.fama-data
Dataset Description, Collection, and Source
The FAMA training data is the collection of English and Italian datasets for automatic speech recognition (ASR) and speech translation (ST)
used to train the FAMA models family.
The ASR section of FAMA is derived from the MOSEL data collection, including the automatic
transcripts obtained with Whisper and available in the HuggingFace MOSEL Dataset.
The ASR is further augmented with automatically transcribed speech from the… See the full description on the dataset page: https://huggingface.co/datasets/FBK-MT/fama-data.vox-cloned-data
CommonVoice Clones
This dataset consists of recordings taken from the CommonVoice english dataset.
Each voice and transcript are used as input to a voice cloner, and generate a cloned version of the voice and text.
TTS Models
We use the following high-scoring models from the TTS leaderboard:
playHT
metavoice
StyleTTSv2
XttsV2
Model Comparisons
To facilitate data exploration, check out this HF space 🤗, which allows you to listen to all clones from a given… See the full description on the dataset page: https://huggingface.co/datasets/jerpint/vox-cloned-data.sinhala-tts-dataset-archive-20260429-082457
Sinhala TTS Dataset
Clean, segmented Sinhala speech from the "Unlimited History" YouTube series by @sunchare.
Stats
Metric
Value
Utterances
218
Train
208
Val
10
Hours
0.51
Mean duration
8.5s
Sample rate
22050 Hz
Pipeline
Raw YouTube audio -> HTDemucs -> VoiceFixer + DeepFilterNet3 ->
Diarization -> Silero-VAD -> ASR (faster-whisper: C:\Users\kosal\sinhala-tts\whisper-small-si-ct2) -> Quality filtering (SNR>=20.0dB)
Format… See the full description on the dataset page: https://huggingface.co/datasets/outlawmold/sinhala-tts-dataset-archive-20260429-082457.Hadou-Voice-Dataset
Hadou Voice Dataset
ハドウ本人が収録した、日本語音声データセットです。
このページで、特徴の異なる2種類のデータセットを公開しています。
配布データ
設定名
内容
音声数
合計時間
v1（おすすめ）
Hadou Calm Voice Dataset v1。落ち着いた中音域、AIキャラクター向けボイスが多めの音声データ
966
約114.02分
v0
Hadou ITA Corpus Dataset v1。ITAコーパスを読み上げた自然な話し声
424
約38.95分
v1 には、AICAコーパス500文、ITAコーパス324文、感情・態度付き90文、同文異演技40文、強度段階12文を収録しています。
v1の詳細: v1/README.txt
v0の詳細: v0/README.txt
読み込み例
from datasets import load_dataset
# 新しい966音声（既定）
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/hadou1225/Hadou-Voice-Dataset.DataOfParakeetTrainingpulmonary-disease-airway-lung-function-dataset
Acoustic Waveform Airway and Respiratory Examination (AWARE/PTEase) Dataset
Guidelines
AWARE/PTEase is a smartphone-based sensing system that examines human airway's internal physiological conditions, developed by the Intelligent Systems Laboratory at University of Pittsburgh. AWARE/PTEase probes the airway with acoustic pulses through mouth, and collect the airway's reflections for analysis. Please refer to our paper and github repo for more details.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/ericyxy98/pulmonary-disease-airway-lung-function-dataset.american-speech-recognition-dataset
American Speech Dataset for recognition task
Dataset comprises 1,136 hours of telephone dialogues in American, collected from 1,416 native speakers across various topics and domains, achieving an impressive 95% Sentence Accuracy Rate. It is designed for research in automatic speech recognition (ASR) systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in natural language processing (NLP), speech recognition, and machine… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/american-speech-recognition-dataset.Phone_Timings_Database
📖 TajweedAI: Quranic Phoneme Timing Benchmark (Phases 1, 2 & 3)
📌 Project Overview
TajweedAI evaluates Quranic recitation accuracy by analyzing both pronunciation (phoneme classification) and timing (rule duration evaluation).
This benchmark provides empirical, tempo-normalized duration boundaries for all 70 Quranic phonemes derived from forced alignments (MFA trained on Quranic audio) across 7 master reference reciters:
Sheikh Mahmoud Khalil Al-Husary (Gold… See the full description on the dataset page: https://huggingface.co/datasets/AhmedTamertechno1/Phone_Timings_Database.uyghur-ASR-dataset
Uyghur ASR Corpus (Latin Transliteration)
A speech corpus for Uyghur automatic speech recognition, with transcriptions in a
case-sensitive Latin transliteration scheme. Approximately 23 hours of audio across
9,468 clips.
Uyghur is a Turkic language spoken by roughly 10–12 million people. It is severely
under-represented in open speech datasets, and this corpus is intended to support ASR research
for the language.
Dataset summary
Language
Uyghur (ug)… See the full description on the dataset page: https://huggingface.co/datasets/Shramadeepd/uyghur-ASR-dataset.russian-speech-recognition-dataset
Russian Speech Dataset for recognition task
Dataset comprises 338 hours of telephone dialogues in Russian, collected from 460 native speakers across various topics and domains, with an impressive 98% Word Accuracy Rate. It is designed for research in speech recognition, focusing on various recognition models, primarily aimed at meeting the requirements for automatic speech recognition (ASR) systems.
By utilizing this dataset, researchers and developers can advance their… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/russian-speech-recognition-dataset.id-en-codeswitch-dataset-alternative
Indonesian–English Code-Switching Synthetic Speech Dataset
Synthetic speech generated for the undergraduate final project "Handling
Code-Switching in Automatic Speech Recognition for Low-Resource Language
Pairs: An Indonesian–English Case Study", School of Electrical Engineering
and Informatics, Institut Teknologi Bandung.
This dataset contains synthetic audio produced from the Indonesian–English
code-switching text corpora released in the companion repository below. It
was used… See the full description on the dataset page: https://huggingface.co/datasets/shulhaaja/id-en-codeswitch-dataset-alternative.ht-voice-dataset
Ansanb done vwa an Kreyòl pou antrene DeepSPeech.
Dataset sa a gen plis pase 7 è tan anrejistreman vwa ak prèske 100 moun an Kreyòl pou bati sistèm ASR ak TTS pou lang Kreyòl la.
Pifò nan done yo soti nan "CMU Haitian Creole Speech Recognition Database" la.
Done sa yo gentan filtre epi òganize pou ka antrene modèl DeepSPeech Mozilaa a.
Si toutfwa ou ta bezwen jwenn plis enfòmasyon sou jan done yo ranje a epi kisa ou ka fè avèk yo, tcheke DeepSpeech Readme.
conversational-sarcasm-benchmark
Conversational Sarcasm Benchmark — Audio-Grounded, Metadata-Only
A benchmark of 1,168 conversational sarcasm units drawn from 64 English-language
YouTube videos (predominantly stand-up comedy and comedic conversation). Every unit
pairs a short target utterance with the preceding context that makes its
figurative reading available, and carries a categorical label plus a free-text rationale.
This repository contains no audio. It ships annotations, transcriptions, and the
source… See the full description on the dataset page: https://huggingface.co/datasets/darksyntax0/conversational-sarcasm-benchmark.The_Arabic_News_speech_Corpus_Dataset
Arabic News Speech Corpus Dataset
This dataset is an Arabic speech corpus that supports the development of syllable-based Arabic speech recognition using Wav2Vec-2 architecture and a 5-gram language model. It consists of Modern Standard Arabic (MSA) syllables extracted from TV news broadcasts, annotated with diacritics.
Dataset Details
Dataset Description
This corpus contains 15 hours of WAV audio recordings transcribed into diacritized Modern Standard Arabic… See the full description on the dataset page: https://huggingface.co/datasets/IbrahimSalah/The_Arabic_News_speech_Corpus_Dataset.Chinese-Speech-Dataset
🎧 Chinese (Simplified) Speech Dataset
The Chinese (Simplified) speech dataset is a high-quality speech audio dataset developed to support scalable AI and machine learning solutions with diverse and structured audio data. It contains 105 hours of speech data across 700 audio files, delivered in MP3 and WAV formats, with a total size of 229 MB. This well-balanced audio dataset provides reliable voice data, featuring 54% female and 46% male speakers, with age distribution ranging from… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Chinese-Speech-Dataset.japanese-speech-recognition-dataset
Japanese Speech Dataset for recognition task
Dataset comprises 10+ hours of telephone dialogues in Japanese, collected from 10 native speakers across various topics and domains. It is designed for research in speech recognition, focusing on various recognition models, primarily aimed at meeting the requirements for automatic speech recognition (ASR) systems.
By utilizing this dataset, researchers and developers can advance their understanding and capabilities in automatic speech… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/japanese-speech-recognition-dataset.Arabic-Emotional-Audio-Dataset-Baved
BAVED — Basic Arabic Vocal Emotions Dataset (TTS-ready repackaging)
A re-packaged, transcript-aligned version of the Basic Arabic Vocal Emotions Dataset (BAVED) with explicit Arabic transcripts, English glosses, speaker metadata, and speaker-disjoint train/validation/test splits.
Original dataset: Aouf Yacine, Basic Arabic Vocal Emotions Dataset (BAVED), GitHub: https://github.com/40uf411/Basic-Arabic-Vocal-Emotions-Dataset. This repackaging adds metadata; all audio is unchanged.… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/Arabic-Emotional-Audio-Dataset-Baved.Korean-Speech-Dataset
🎧 Korean Speech Dataset
The Korean Speech Dataset is a large-scale speech audio dataset designed to provide high-quality and structured audio data for advanced AI and machine learning systems. It includes 192 hours of audio data across 628 files, delivered in MP3 and WAV formats, with a total size of 447 MB. This well-balanced audio dataset ensures diverse and representative voice data, with 52% female and 48% male speakers, and an age distribution ranging from 18 to 50+ years. The… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/Korean-Speech-Dataset.VN-SpeechMix_Dataset
VN-SpeechMix: A Large-Scale Multi-Dialect Vietnamese Speech Mixture Dataset
VN-SpeechMix is a large-scale, multi-dialect Vietnamese speech mixture
dataset for two-speaker speech separation research. It is built from the
ViMD corpus (Van Dinh et al., EMNLP 2024)
using a loudness-aware mixing pipeline (LUFS normalization + two-stage
anti-clipping) and a dialect-aware pairing strategy across Vietnam's three
macro-dialect regions (North / Central / South).
26,000 two-speaker… See the full description on the dataset page: https://huggingface.co/datasets/pervasiveaidataresearchlab2025/VN-SpeechMix_Dataset.Yemeni-Speech-Emotion-Dataset
YSED — Yemeni Speech Emotion Dataset (audio-classification repackaging)
A clean repackaging of YSED with a metadata.csv and stratified train/validation/test splits, for emotion classification on Yemeni Arabic.
Original dataset: Derhem, S., AL-Mekhlafi, E., AL-Majmar, N. A., & AL-Makhlafi, M. (2025). YSED: Yemeni Speech Emotion Dataset. Data in Brief. DOI: 10.1016/j.dib.2025.112233. Zenodo: https://zenodo.org/records/15227219.
What's in here
1432 audio clips across… See the full description on the dataset page: https://huggingface.co/datasets/FatimahEmadEldin/Yemeni-Speech-Emotion-Dataset.emotion-voice-dataset
emotion voice dataset
Developed by Aryan Singh Chandel (Shiro) at Rustamji Institute of Technology (RJIT).
📝 Overview
This repository contains assets for emotion voice dataset. It is a professional research component of the Shiro AI ecosystem.
🚀 Status
The core files are live. Detailed usage instructions and technical benchmarks are currently being compiled for the elite release.
ringdown-damping-signals
Ring-Down Damping Signals: 12K Labelled Decay Waveforms
How this dataset was created
This is original data created programmatically — it was not collected, recorded, scraped, or
derived from any external source. Each of the 12,000 signals was generated from scratch by a
deterministic, seeded Python program:
Draw the label theta uniformly at random from [1, 5], plus a random overall base-decay rate.
Pick a random number of tones ("modes", 30–55), each with a… See the full description on the dataset page: https://huggingface.co/datasets/botfx/ringdown-damping-signals.amharic-speech-dataset-2026
Amharic Speech Dataset 2026
Overview
This dataset contains Amharic speech recordings collected using the Leyu Platform for the Leyu Platform Competition 2026.
Language
Amharic (am)
Dialect
Standard Addis Ababa Amharic
Speaker Information
Number of Speakers: 1
Speaker IDs: SPK001
Audio Format
Format: M4A
Duration: 10–60 seconds per recording
Directory Structure
audio/
metadata.csv… See the full description on the dataset page: https://huggingface.co/datasets/ofc-its-phyla/amharic-speech-dataset-2026.russian-speech-dataset
Russian Speech Dataset
The Russian Speech Dataset is a structured speech audio dataset designed to deliver high-quality audio data for machine learning and AI-driven voice systems. It includes 91 hours of audio data distributed across 641 files, provided in MP3 and WAV formats with a total size of 307 MB.
This well-organized audio dataset ensures balanced voice data, with 50% female and 50% male speakers, and a broad age distribution from 18 to 50+ years. The dataset language is… See the full description on the dataset page: https://huggingface.co/datasets/Speech-data/russian-speech-dataset.