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Found 14 papers, 9 papers with code
Voice Conversion Augmentation for Speaker Recognition on Defective Datasets
Our experimental results on three created datasets demonstrated that VCA-NN effectively mitigates these dataset problems, which provides a new direction for handling the speaker recognition problems from the data aspect.
Enhancing Real-World Active Speaker Detection with Multi-Modal Extraction Pre-Training
Audio-visual active speaker detection (AV-ASD) aims to identify which visible face is speaking in a scene with one or more persons.
Prompt-driven Target Speech Diarization
We introduce a novel task named `target speech diarization', which seeks to determine `when target event occurred' within an audio signal.
Target Active Speaker Detection with Audio-visual Cues
To benefit from both facial cue and reference speech, we propose the Target Speaker TalkNet (TS-TalkNet), which leverages a pre-enrolled speaker embedding to complement the audio-visual synchronization cue in detecting whether the target speaker is speaking.
I4U System Description for NIST SRE'20 CTS Challenge
This manuscript describes the I4U submission to the 2020 NIST Speaker Recognition Evaluation (SRE'20) Conversational Telephone Speech (CTS) Challenge.
Speaker recognition with two-step multi-modal deep cleansing
However, noisy samples (i. e., with wrong labels) in the training set induce confusion and cause the network to learn the incorrect representation.
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs
We study a novel neural architecture and its training strategies of speaker encoder for speaker recognition without using any identity labels.
HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRE
This work provides a brief description of Human Language Technology (HLT) Laboratory, National University of Singapore (NUS) system submission for 2020 NIST conversational telephone speech (CTS) speaker recognition evaluation (SRE).
Ego4D: Around the World in 3,000 Hours of Egocentric Video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.
Self-supervised Speaker Recognition with Loss-gated Learning
In self-supervised learning for speaker recognition, pseudo labels are useful as the supervision signals.
Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection
Active speaker detection (ASD) seeks to detect who is speaking in a visual scene of one or more speakers.
Selective Listening by Synchronizing Speech with Lips
A speaker extraction algorithm seeks to extract the speech of a target speaker from a multi-talker speech mixture when given a cue that represents the target speaker, such as a pre-enrolled speech utterance, or an accompanying video track.
NUS-HLT Report for ActivityNet Challenge 2021 AVA (Speaker)
Active speaker detection (ASD) seeks to detect who is speaking in a visual scene of one or more speakers.
Muse: Multi-modal target speaker extraction with visual cues
Speaker extraction algorithm relies on the speech sample from the target speaker as the reference point to focus its attention.
