MODULE MODULE HMM MODULE UI Speech In Out
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feature vector has 18 dimensions. The feature vector is quantized in four diierent codebooks having 128, 128, 32, 32 prototype vectors respectively. The feature vector and four VQ parameters are computed in real-time every 10 ms, and stored with the speech signal in area B. The program AFE is directly written in the DSP32C's assembler and is supported by AT&Ts application library. Examples To control various home operations by a speech interface an ASR system must be built that is customized to that application, that is the suitable language model must be speciied. A possible reduction set of the allowable sentences is depicted in the following using the GSL. divert(-1) # start of deene deene(N, lambda) deene(N DIGITS, ...) deene(OF THE, of the) deene(ROOM, (kitchen j room j bathroom j passage j livingroom)) # end of deene divert # sentence (switch j turn) (on joo) the (gas j light j radio j television j ventilator j oven j stove ((number j N) N DIGITS(1) j N)) j # sentence (raise j lower) the temperature OF THE (ROOM j oven) (N j of (one degree j N DIGITS(2) degrees) centigrade) j # sentence turn the (television j radio j N) volume (up j down) j # sentence answer the (telephone j housephone) j # sentence call N DIGITS(9) Note that the N DIGITS deenition is omitted because it can be found in the Grammar Speciication Language subsection. Furthermore, the comments are preceded by a \#". After the macros are expanded by the m4 preproces-sor, the above set of sentences is taken as input from the compiler running on a Sun4 workstation. The result is an optimum DFA with 33 states and 185 links built in 3.3 CPU time. Without the set of sentences derived from the last group (\call number"), the number of sentences accepted by the DFA is 43,512. In order to use that language model in HMM based ASR systems, a DFA was built in which labels are the phonetic units instead of words. For the translation of words in the corresponding sequence of units, the TIMIT database was used. The nal DFA consists of 345 states and 490 links.
منابع مشابه
Utilization of an HMM-based feature generation module in 5 ms segment concatenative speech synthesis
, – Spectrum at each segment boundary for calculation of concatenation cost (2) Synthesis stage – Text-to-Feature •Generate features from input text (linguistic/prosodic-information) – Feature-to-Speech • Find the N-best candidates in each frame (preselection) according to segment's target cost • Find the best path from the N-best candidates based on concatenation cost •Concatenate the segments...
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