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Speech recognition, text-to-speech, speaker identification, music classification, audio event detection
2,577 datasets
Meddies ASR Test is a dataset hosted on HuggingFace, authored by Meddies. The dataset's title suggests it contains audio data likely intended for testing automatic speech recognition systems. Its last update was recorded as 2026-06-26 09:05:30.
somu9 provides 20,141 pre-extracted audio codec tokens for text-to-speech training, derived from the reach-vb/jenny_tts_dataset. The collection contains 26.4 hours of audio, tokenized using the MOSS-Audio-Tokenizer-Nano codec at 48 kHz stereo and a frame rate of 12.5 Hz.
Meedies Asr Human Labels is a dataset published on the HuggingFace platform by an author named Meddies. The dataset appears to contain human-labeled data, likely for training or evaluating automatic speech recognition systems. Its last recorded update was on June 30, 2026.
23,419 audio-transcription pairs totaling 72 hours of Farsi speech data, contributed by 678 distinct speakers. This dataset is part of the YodaLingua multilingual collection, designed for training text-to-speech and automatic speech recognition models. It was uploaded by Thomcles to Hugging Face and last updated on 2026-04-27.
A large-scale symbolic music dataset in ABC notation, curated to support text-driven sheet music generation. It was released as part of the Text2Score project by emotionwave-company and last updated on May 12, 2026.
A curated collection of 1000 Egyptian Arabic speech samples, each representing the best audio selected from four different text-to-speech models. The dataset was created by MohamedGomaa30 and includes transcription text and quality metadata for each entry. It was last updated on May 14, 2026.
OpenSLR-132 is a Quran speech to text dataset sourced from OpenSLR.org. The dataset was uploaded to Hugging Face by the user deepdml and was last updated on June 8, 2026. The specific content, size, and structure of the audio files are not detailed in the provided metadata.
A benchmark dataset for detecting AI-generated symbolic music, focusing on the MIDI format. The dataset was created by dhlee3000 and last updated on May 15, 2026. It addresses concerns about authenticity in digital music by providing a resource for a domain previously less explored than audio deepfake detection.
A manuscript from the University of Pittsburgh Medical Center describes a surgical approach for head and neck cancer patients during the COVID-19 pandemic. Authored by Mark Kubik, it details methods for providing timely reconstructive care while minimizing infectious risk to providers, patients, and families.
Meddies Asr Test is a dataset uploaded to HuggingFace by an author named Meddies. The dataset was last updated on June 26, 2026. Its specific content and scale are not detailed in the provided metadata.
815,171 audio clips totaling over 2,264 hours of speech, compiled by agarwalayushi and last updated in April 2026. This dataset covers Hindi, Hinglish (Hindi-English code-switching), and Indian English, sourced from 14 public corpora and custom recordings, unified into a single Parquet file.
Russian speech audio data published on the Hugging Face platform by PotatoHD. The dataset's last recorded update was on 2026-06-22. Columns, sample data, and exact size are currently unknown.
Meddies provides engineering resources for automatic speech recognition systems. The dataset's specific content and scale are not detailed in the available metadata. It was last updated on July 1, 2026.
A sampled subset of Amazon Reviews from the Musical Instruments category, filtered for a recommendation system project. The data covers reviews from January 2018 to September 2023 and was processed with iterative 5-core filtering to ensure users and items have at least five interactions. It was created by oyku-tugana and includes a held-out test set of 5000 users for cold-start evaluation.
IOAI 2026 Home Task 1 Audio Dataset provides audio data and an Audio Spectrogram Transformer checkpoint for 29 sound classes. The dataset includes 16 retained and 13 new sound classes. It was created for a Kaggle competition task, though the specific author and organization are unknown.
Emo-TTS Evaluation Datasets are used for evaluating a training-free inference framework for high-arousal emotional speech synthesis. The collection includes the HIED dataset with 400 samples across four emotions and the ESD dataset with 20 speakers across two languages. The dataset was created by author 'erminga' and was last updated on 2026-04-29.
Polish Historical-Scan OMR Benchmark is a page-level Optical Music Recognition evaluation dataset containing 112 real historical score scans. It provides paired **kern (Humdrum) and MusicXML ground-truth transcriptions. The dataset was derived from the PRAIG/polish-scores dataset, with kern normalization and manual fixes applied.
LibriHeavy TTS 3 is an improved version of the LibriHeavy dataset, designed specifically for text-to-speech training quality. It is built on a 50,000-hour labeled ASR corpus derived from LibriLight, with audio encoded using the Opus 68kbps codec. The dataset, authored by brthor and last updated in April 2026, focuses on providing better audio and text supervision quality.
Armenian speech audio and caption files collected from the Azatutyun YouTube channel. The dataset includes a 'train' split with clean audio and captions and a 'bad_subtitles' split with known noisy captions. It was created by Arthuryann and last updated on May 5, 2026.
Oceanographic data from a NOAA expedition mapping the Musicians Seamounts chain up to 650 nautical miles north of Hawaii. The dataset includes shipboard sensor measurements for navigation, meteorology, and oceanography collected from August 8 to August 31, 2017. It is produced by the National Oceanic and Atmospheric Administration and is available on multiple government data platforms.