12 datasets found

The VOiCES dataset is used for testing the speaker recognition system. The dataset contains 7323 identities combined. The dataset is used for testing.

Speaker recognition evaluation dataset

The dataset is a collection of 8kHz audio recordings of spoken digits from 'zero' to 'nine'.

The TIMIT corpus is a large database of speech recordings used for speaker recognition and speech synthesis tasks.

Voxceleb2: Deep speaker recognition.

The NIST-SRE 2016 dataset contains recordings of speakers from different domains.

The Ted Talks dataset is a speaker recognition dataset, consisting of audio recordings of speakers.

The VCTK corpus is an English multi-speaker dataset, with 44 hours of audio spoken by 109 native English speakers.

Speaker verification systems experience significant performance degradation when tasked with short-duration trial recordings. To address this challenge, a multi-scale feature...

Speaker recognition aims to identify speaker information from input speech. A type of speaker recognition is speaker verification (SV). It determines whether the test speaker's...

The dataset used in this paper is a reinforcement learning dataset, specifically the SimpleQuestion dataset, which contains questions answerable using Wikidata as the knowledge...

A popular text-based VC approach is to use an automatic speech recognition (ASR) model to extract phonetic posteriorgram (PPG) as content representation.