Synthesizing intonation of standard arabic language
نویسندگان
چکیده
In this paper, we propose a model to generate fundamental frequency (F0) contours using neural networks. A learning procedure is proposed as an alternative to synthesis-by-rules. The generation of correct fundamental frequency contour is one of the important issues in the naturalness of automatic text-to-speech conversion systems. The proposed approach is based on a standard feed-forward multi-layer network that produces global F0 contours of sentences, directly from encoded linguistic features of standard Arabic language. Our model does not need syntactic information to produce suitable declarative intonation. TD-PSOLA synthesizer is used for validation of our results.
منابع مشابه
Automatic modeling and implementation of intonation for the arabic language in TTS systems
This paper proposes a set of rules for the automatic generation of F0 contours for modern standard Arabic (MSA) affirmative and interrogative sentences. The objective is to finalize a model for the automatic processing of the intonative pattern in different TTS systems (e.g. synthesis by formants using Klatt synthesizer and synthesis by diphones, using a synthesizer based on PSOLA algorithm). T...
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