专利名称：TEXT-TO-SPEECH SYSTEM USING VECTOR QUANTIZATION BASED SPEECH
ENCODING/DECODING
发明人：NARAYAN, Shankar
申请号：EP94907838.0
ts 数组字符串转数组申请日：19940118
公开号：EP0680654A1
公开日：
19951108
专利内容由知识产权出版社提供
摘要：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 for generating the speech data sequence.
申请人：APPLE COMPUTER, INC.
地址：20525 Mariani Avenue Cupertino, California 95014 US 国籍：US
代理机构：Hughes, Andrea Michelle
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