DocumentCode :
1238463
Title :
An Economical Hardware Realization of a Digital Linear Predictive Speech Synthesizer
Author :
Morris, L.
Author_Institution :
Carleton Univ., Ottawa, Ont., Canada
Volume :
22
Issue :
1
fYear :
1974
fDate :
1/1/1974 12:00:00 AM
Firstpage :
82
Lastpage :
88
Abstract :
Speech analysis/synthesis algorithms utilizing linear prediction coefficients have certain advantages over those employing formantbased techniques. For example, 4-kHz speech samples may be synthesized using a basic sequence of 10 multiply/adds followed by a single addition of the current sample of the excitation function. Real-time software synthesis of 4-kHz speech is possible (using this technique) on certain 16-b minicomputers, but the central processing unit (CPU) overhead may approach 100 percent. We describe an economical (< 600-dollar) hardware realization of a 4-kHz digital linear predictive speech synthesizer which requires, at most, a CPU overhead of about 40 percent real time. The device is constructed of standard TTL/MOS logic and consists (essentially) of a high speed 2´s complement multiplier/adder capable of calculating a 26-b product (10-b speech samples, 16-b coefficients) in 0.33 μs, and a dual shift register. In addition, a procedure is discussed which enables the device to be used both as a formant synthesizer for vowels or voiced consonant production, and as a predictive synthesizer for other speech sounds. This procedure, hybrid synthesis, permits the utilization of formant concatenation techniques and reduces the coefficient storage required to specify vowels/voiced consonants by about 60 percent.
Keywords :
Parameter estimation; Prediction techniques; Speech synthesis; Central Processing Unit; Economic forecasting; Hardware; Logic devices; Microcomputers; Prediction algorithms; Speech analysis; Speech processing; Speech synthesis; Synthesizers;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOM.1974.1092060
Filename :
1092060
Link To Document :
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