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A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition
Abstract Advanced Audio-Visual Speech Recognition (AVSR) systems have been observed
to be sensitive to missing video frames performing even worse than single-modality models …
to be sensitive to missing video frames performing even worse than single-modality models …
Voxblink: A large scale speaker verification dataset on camera
In this paper, we introduce a large-scale and high-quality audiovisual speaker verification
dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual data …
dataset, named VoxBlink. We propose an innovative and robust automatic audio-visual data …
Voxblink2: A 100k+ speaker recognition corpus and the open-set speaker-identification benchmark
In this paper, we provide a large audio-visual speaker recognition dataset, VoxBlink2, which
includes approximately 10M utterances with videos from 110K+ speakers in the wild. This …
includes approximately 10M utterances with videos from 110K+ speakers in the wild. This …
Multi-input multi-output target-speaker voice activity detection for unified, flexible, and robust audio-visual speaker diarization
Audio-visual learning has demonstrated promising results in many classical speech tasks
(eg, speech separation, automatic speech recognition, wake-word spotting). We believe that …
(eg, speech separation, automatic speech recognition, wake-word spotting). We believe that …
The dku-msxf diarization system for the voxceleb speaker recognition challenge 2023
This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker
Recognition Challenge 2023 (VoxSRC-23). Our system pipeline contains voice activity …
Recognition Challenge 2023 (VoxSRC-23). Our system pipeline contains voice activity …
Sequence-to-Sequence Neural Diarization with Automatic Speaker Detection and Representation
This paper proposes a novel Sequence-to-Sequence Neural Diarization (SSND) framework
to perform online and offline speaker diarization. It is developed from the sequence-to …
to perform online and offline speaker diarization. It is developed from the sequence-to …
Summary on the multimodal information based speech processing (MISP) 2022 challenge
The Multimodal Information based Speech Processing (MISP) 2022 challenge aimed to
enhance speech processing performance in harsh acoustic environments by leveraging …
enhance speech processing performance in harsh acoustic environments by leveraging …
Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual
speaker diarization systems. To improve the performance of audio-visual speaker …
speaker diarization systems. To improve the performance of audio-visual speaker …