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pro vyhledávání: '"Mallela, Jhansi"'
Automatic syllable stress detection is a crucial component in Computer-Assisted Language Learning (CALL) systems for language learners. Current stress detection models are typically trained on clean speech, which may not be robust in real-world scena
Externí odkaz:
http://arxiv.org/abs/2412.08306
Autor:
Mondal, Anindita, Bharadwaj, Rangavajjala Sankara, Mallela, Jhansi, Vuppala, Anil Kumar, Yarra, Chiranjeevi
Automatic detection of prominence at the word and syllable-levels is critical for building computer-assisted language learning systems. It has been shown that prosody embeddings learned by the current state-of-the-art (SOTA) text-to-speech (TTS) syst
Externí odkaz:
http://arxiv.org/abs/2412.08283