13 datasets found

Speaker recognition is a very active research area with no-table applications in various fields such as biometric authentication, forensics, security, speech recognition, and...

The Voxceleb2 dataset is a large-scale speaker recognition dataset, containing 2442 hours raw speech from 6112 speakers.

The dataset of retransmitted audio used for PLDA adaptation

The dataset used for the VOiCES 2019 Speaker Recognition challenge

The proposed model uses the timbral properties of voice, that is hardly used in any other research endeavors. The model is tested against a real-world continuous stream of...

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

The dataset is used for speaker diarization tasks.

The dataset is used for speaker diarization tasks.

The ASVspoof2019 LA subset consists of three parts, training, development, and evaluation. Each partition has a disjoint set of speakers. The average duration of the utterances...

The VoxCeleb dataset is a large-scale speaker identification dataset, used to evaluate the performance of face recognition systems.

The TIMIT corpus is a widely used benchmark for speech recognition tasks. It contains 3,696 training utterances from 462 speakers, excluding the SA sentences. The core test set...

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...