Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator

02/27/2023

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by   Vladimir Bataev, et al.

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We propose an end-to-end ASR system that can be trained on transcribed speech data, text data, or a mixture of both. For text-only training, our extended ASR model uses an integrated auxiliary TTS block that creates mel spectrograms from the text. This block contains a conventional non-autoregressive text-to-mel-spectrogram generator augmented with a GAN enhancer to improve the spectrogram quality. The proposed system can improve the accuracy of the ASR model on a new domain by using text-only data, and allows to significantly surpass conventional audio-text training by using large text corpora.