Speech Recognition with Augmented Synthesized Speech
Table 5: ASR results (WER) on Isolated-Sentences augmenting either Isolated-Sentences or the union of Isolated-Sentences and LibriSpeech with TTS utterances trained on LibriSpeech or Isolated-Sentences
['TTS Model', 'Train Set IS', 'Train Set IS+LS']
We train a TTS model based on the Isolated-Sentences material. Since the source data is noisy, we find the synthesis quality to be lower. We then synthesize the Isolated-Sentences training data with this TTS model, as well as the LibriSpeech TTS model. Since LibriSpeech (960hrs) is much larger than Isolated-Sentences (76hrs), we also explore ASR training using both corpora.