Some Aspects of ASR Transcription Based Unsupervised Speaker Adaptation for HMM Speech Synthesis

Abstract

Statistical parametric synthesis offers numerous techniques to create new voices. Speaker adaptation is one of the most exciting ones. However, it still requires high quality audio data with low signal to noise ration and precise labeling. This paper presents an automatic speech recognition based unsupervised adaptation method for Hidden Markov Model (HMM… (More)
DOI: 10.1007/978-3-642-15760-8_52

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