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cs.CL2023
On the Relevance of Phoneme Duration Variability of Synthesized Training Data for Automatic Speech Recognition
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. It has been sho…
cs.CL2023
Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text
Parnia Bahar, Mattia Di Gangi, Nick Rossenbach +1
Automatic Arabic diacritization is useful in many applications, ranging from reading support for language learners to accurate pronunciation predictor for downstream tasks like spe…