Speech Recognition using Digital Signal Processing

International Journal of Electronics, Communication & Soft Computing Science and Engineering ISSN: 2277-9477, Volume 2, Issue 6. Speech Recognition using Digital Signal Processing Mr. Maruti Saundade Kurle Abstract: - Speech Recognition methods can be divided into Processing made considerable advances after the text-independent and text dependent methods. In a text introduction of specialized DSP processors. independent system, speaker models capture characteristics of somebody's Speech , which show up irrespective of what one is saying. In a text-dependent II. LITERATURE SURVEY. system, on the other hand, the Recognition of the speaker's Every Speech Recognition application is designed to identity is based on his or her speaking one or more accomplish a specific task.

SPEECH FEATURE EXTRACTION: The purpose of this module is to convert the speech waveform to some type of parametric representation (at a considerably lower information rate) for further analysis and processing. This is often referred as the signal processing front end. The speech signal is a

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  Signal, Extraction

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