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Found 5 papers, 2 papers with code
Towards audio language modeling - an overview
Neural audio codecs are initially introduced to compress audio data into compact codes to reduce transmission latency.
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models
The sound codec's dual roles in minimizing data transmission latency and serving as tokenizers underscore its critical importance.
Multimodal Transformer Distillation for Audio-Visual Synchronization
This paper proposed an MTDVocaLiST model, which is trained by our proposed multimodal Transformer distillation (MTD) loss.
Push-Pull: Characterizing the Adversarial Robustness for Audio-Visual Active Speaker Detection
Audio-visual active speaker detection (AVASD) is well-developed, and now is an indispensable front-end for several multi-modal applications.
Adversarial Robustness
Audio-Visual Active Speaker Detection
Adversarial Speaker Distillation for Countermeasure Model on Automatic Speaker Verification
The countermeasure (CM) model is developed to protect ASV systems from spoof attacks and prevent resulting personal information leakage in Automatic Speaker Verification (ASV) system.
