On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition

no code implementations • 12 Oct 2023 • Nick Rossenbach, Benedikt Hilmes, Ralf Schlüter

Synthetic data generated by text-to-speech (TTS) systems can be used to improve automatic speech recognition (ASR) systems in low-resource or domain mismatch tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures

no code implementations • 12 Apr 2021 • Nick Rossenbach, Mohammad Zeineldeen, Benedikt Hilmes, Ralf Schlüter, Hermann Ney

We achieve a final word-error-rate of 3. 3%/10. 0% with a hybrid system on the clean/noisy test-sets, surpassing any previous state-of-the-art systems on Librispeech-100h that do not include unlabeled audio data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2