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Found 4 papers, 3 papers with code
Predicting Multi-Codebook Vector Quantization Indexes for Knowledge Distillation
Although on-the-fly teacher label generation tackles this issue, the training speed is significantly slower as the teacher model has to be evaluated every batch.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Defense against Adversarial Attacks on Hybrid Speech Recognition using Joint Adversarial Fine-tuning with Denoiser
We propose three defenses--denoiser pre-processor, adversarially fine-tuning ASR model, and adversarially fine-tuning joint model of ASR and denoiser.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Earnings-21: A Practical Benchmark for ASR in the Wild
Commonly used speech corpora inadequately challenge academic and commercial ASR systems.
Learning Speaker Embedding from Text-to-Speech
TTS with speaker classification loss improved EER by 0. 28\% and 0. 73\% absolutely from a model using only speaker classification loss in LibriTTS and Voxceleb1 respectively.
