160 datasets found

A dataset for the Zero Resource Speech Challenge 2015.

A dataset for the Zero Resource Speech Challenge 2015.

A dataset for the Zero Resource Speech Challenge 2015.

A segmental Bayesian model for full-coverage segmentation and clustering of conversational speech audio.

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

The DeepSpeech dataset used for evaluation of the proposed watermarking scheme.

The proposed black-box model watermarking framework for protecting the IP of ASR models.

Query-by-example on-device keyword spotting.

DailyTalk: Spoken dialogue dataset for conversational text-to-speech.

KWS-DailyTalk is a five-shot KWS dataset aimed at detecting 15 different keywords, namely “afternoon”, “airport”, “cash”, “credit card”, “deposit”, “dollar”, “evening”,...

Whisper is a general-purpose speech recognition model.

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 WIT3 parallel corpus is a large-scale corpus of transcribed and translated talks.

The VoxForge dataset is a collection of audio recordings of human speech.

Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Unsupervised Pre-Training for Speech Recognition

The dataset used in this paper is the Isolet dataset, which contains 4,000 13-channel audio recordings of 100 speakers.