14 datasets found

A large-scale speaker verification dataset on camera.

The NIST SRE10 dataset used for speaker verification

The dataset is used for speaker diarization tasks.

The dataset is used for speaker diarization tasks.

The dataset is used for speaker diarization tasks.

Speaker diarization is the process of partitioning an input audio stream into homogeneous segments according to the speaker identity.

The i-vector dataset is a text-dependent speaker verification dataset.

The proposed Y-vector system is used for speaker verification and speaker embedding.

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...

The ASVspoof 2019 dataset is a large-scale public dataset for speaker verification and spoofing countermeasures. The dataset contains various types of audio files, including...

The dataset used in the paper is the spoofing challenge database.

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

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...