Parrot-like speaking using optimal vector quantization
説明
Parrot-like speaking can be considered as one of the most fundamental abilities of humans or robots. It is not a transformation of a target speech signal, but a perception-and-action process: recognizing the target speech and producing a mimic one using a voice obtained from a voice owner. This paper presents a connectionist parrot-like speaking system. Our approach employs the record-and-edit approach with an acoustic wave segment as the processing unit, and uses a vector quantizer for two purposes: to build a segment database as a natural voice of a robot, and to cluster the segment database to speed up the mimicking. The experimental parrot system works mostly well, mimicking any target speech and sounding like a voice owner.
収録刊行物
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- Proceedings of ICNN'95 - International Conference on Neural Networks
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Proceedings of ICNN'95 - International Conference on Neural Networks 5 2871-2875, 2002-11-19
IEEE