4 papers
Can DeepFake Speech be Reliably Detected?
Hongbin Liu, Youzheng Chen, Arun Narayanan +3
Recent advances in text-to-speech (TTS) systems, particularly those with voice cloning capabilities, have made voice impersonation readily accessible, raising ethical and legal con…
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models
Hongbin Liu, Lun Wang, Om Thakkar +2
Large ASR models can inadvertently leak sensitive information, which can be mitigated by formal privacy measures like differential privacy (DP). However, traditional DP training is…
Training Large ASR Encoders with Differential Privacy
Geeticka Chauhan, Steve Chien, Om Thakkar +2
Self-supervised learning (SSL) methods for large speech models have proven to be highly effective at ASR. With the interest in public deployment of large pre-trained models, there…
Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping
Lun Wang, Om Thakkar, Zhong Meng +3
Gradient clipping plays a vital role in training large-scale automatic speech recognition (ASR) models. It is typically applied to minibatch gradients to prevent gradient explosion…