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Found 4 papers, 1 papers with code
Incremental FastPitch: Chunk-based High Quality Text to Speech
Parallel text-to-speech models have been widely applied for real-time speech synthesis, and they offer more controllability and a much faster synthesis process compared with conventional auto-regressive models.
Efficient Incremental Text-to-Speech on GPUs
Incremental text-to-speech, also known as streaming TTS, has been increasingly applied to online speech applications that require ultra-low response latency to provide an optimal user experience.
Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition
Noisy Student Training (NST) has recently demonstrated extremely strong performance in Automatic Speech Recognition(ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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M$^2$DQN: A Robust Method for Accelerating Deep Q-learning Network
Deep Q-learning Network (DQN) is a successful way which combines reinforcement learning with deep neural networks and leads to a widespread application of reinforcement learning.
