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i need all the information ...
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Automatic extractions of information from the speech signal.Ssuch system involve some sort of pattern matching. Such problems include the following: speech recognition, whom the object is to extract the message from the speech signal; then speaker recognition, where the goal is to identify who is speaking; then speaker verification, where the goal is to verify n speaker claimed identity from analysis of their speech , Next is word spotting ,it is the main process involved in the speech to text conversion , word spotting: which involves monitoring a speech signal for the occurrence of specified words or phrases; and automatic indexing of speech recordings based on recognition (or spotting) of spoken keywords. The first block in the pattern matching system convert the analog speech waveform to digital form using an A-to-D converter. The feature analysis module converts the sampled speech signal to a net of feature vectors. Often. the same analysis techniques that are used in speech coding also used to derive the feature vectors. The final block in the system, namely the pattern matching block, dynamically time aligns the set of feature vectors representing the speech signal with a concatenated set of stored patterns, and chooses the identity associated with the pattern which is the closest match to the time-aligned set of feature vectors of the speech signal. The symbolic output consists of a set of recognized words, in the case of speech recognition, or the identity of the beet matching talker. In the case of speaker recognition, or a decision as to whether to accept or reject the identity claim of a speaker in the case of speaker verification. Although the block diagram of Figure 1.5 represents a wide range of speech pattern matching problems, the biggest use has been in the area ol' recognition and understanding of speech in support of human machine communication by voice. The major areas where such system finds applications include command and control of computer software, voice dictation to create letters, memos, and other documents, natural language voice dialogues with machines to enable help desks and call centers, and for agent services such as calendar entry and update, address list modification and entry, etc.
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02-03-2011, 02:59 PM
pls send me some info hw to do dis!!!!!!!!!!!
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to get information about topic "speech convertor" full report refer the page link bellow
http://studentbank.in/report-speech-to-text-converter