92 datasets found

A 23 thousand hour corpus of untranscribed, de-identified, far-field, English voice command and voice query speech.

The Open Subtitles dataset consists of transcriptions of spoken dialog in movies and television shows.

End-to-end speech recognition systems usually require huge amounts of labeling resource, while annotating the speech data is complicated and expensive. Active learning is the...

This paper presents a well-known music identification method and implements it as a neural net.

The LRW dataset is an English language lip reading dataset, containing 500 different words, each spoken by over 1,000 persons.

The AISHELL-1 dataset is a Mandarin speech corpus, consisting of 178 hours of speech, with 11 domains and 400 speakers from different accent areas in China.

The BABEL-Pashto dataset is a multilingual speech recognition dataset containing Pashto speech recordings.

asya is a mobile application that listens to a person’s voice and provides private feedback on a person’s verbal communication.

The dataset used in the paper is a benchmarking dataset for speech-to-speech translation.

A comprehensive 46-hour Bengali medical corpus encompassing disease names, symptoms, and symptom severity.

Highly-Reverberant Real Environment database (HRRE) contains 13.4 hours of data recorded in real reverberant environments and consists of 20 different testing conditions.

The TEDLIUM2 dataset is a large corpus of audio recordings of human speech, with a focus on speech recognition tasks.

Few-shot learning evaluation of universal representations of speech

Large-scale dataset of L1 and L2 scripted and spontaneous transcripts and recordings

The Eesen dataset is a speech recognition dataset used in the Eesen framework.

The OpenSeq2Seq dataset is a speech recognition dataset used in the OpenSeq2Seq framework.

The ESPNet dataset is a speech recognition dataset used in the ESPNet framework.

The Kaldi Speech Recognition Toolkit is a widely used dataset for speech recognition.

The dataset used in this paper is not explicitly mentioned, but it is implied to be a speech recognition dataset.

The accented English speech recognition challenge 2020: Open datasets, tracks, baselines, results and methods.