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Ultra-lightweight Neural Differential DSP Vocoder For High Quality Speech Synthesis
A DSP vocoder often gets a lower audio quality due to consuming over-smoothed acoustic model predictions of approximate representations for the vocal tract.
Multi-rate attention architecture for fast streamable Text-to-speech spectrum modeling
Typical high quality text-to-speech (TTS) systems today use a two-stage architecture, with a spectrum model stage that generates spectral frames and a vocoder stage that generates the actual audio.
FBWave: Efficient and Scalable Neural Vocoders for Streaming Text-To-Speech on the Edge
More efficient variants of FBWave can achieve up to 109x fewer MACs while still delivering acceptable audio quality.
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR
Grapheme-based acoustic modeling has recently been shown to outperform phoneme-based approaches in both hybrid and end-to-end automatic speech recognition (ASR), even on non-phonemic languages like English.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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