Text-to-speech system using vector quantization based speech enc

Details Text-to-speech system using vector quantization based speech enc Text-to-speech system using vector quantization based speech enc

1996-04-15

1998-02-10

MacDonald, Allen R.

395 267, 395 271, 395 273, 395 275, 395 278, G10L 502, G10L 900

Patent

active

057178275

ABSTRACT:
A text-to-speech system includes a memory storing a set of quantization vectors. A first processing module is responsive to the sound segment codes generated in response to text in the sequence to identify strings of noise compensated quantization vectors for respective sound segment codes in the sequence. A decoder generates a speech data sequence in response to the strings of quantization vectors. An audio transducer is coupled to the processing modules, and generates sound in response to the speech data sequence. The quantization vectors represent a quantization of a sound segment data having a pre-emphasis to de-correlate the sound samples used for quantization and the quantization noise. In decompressing the sound segment data, an inverse linear prediction filter is applied to the identified strings of quantization vectors to reverse the pre-emphasis. Also, the quantization vectors represent quantization of results of pitch filtering of sound segment data. Thus, an inverse pitch filter is applied to the identified strings of quantization vectors in the module of generating the speech data sequence.

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