Speech Recognition: Theory, Applications, and Challenges

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Speech Recognition

Speech Recognition System

Speech Recognition Based on DTW

Hybrid Speech Recognition

Neural Network Speech Recognition

HMM Speech Recognition

Voice Control System

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Speech Recognition System


Download now Matlab source code
Requirements: Matlab, Matlab Signal Processing Toolbox.

Speech recognition technology is used more and more for telephone applications like travel booking and information, financial account information, customer service call routing, and directory assistance. Using constrained grammar recognition, such applications can achieve remarkably high accuracy. Research and development in speech recognition technology has continued to grow as the cost for implementing such voice-activated systems has dropped and the usefulness and efficacy of these systems has improved. For example, recognition systems optimized for telephone applications can often supply information about the confidence of a particular recognition, and if the confidence is low, it can trigger the application to prompt callers to confirm or repeat their request. Furthermore, speech recognition has enabled the automation of certain applications that are not automatable using push-button interactive voice response (IVR) systems, like directory assistance and systems that allow callers to "dial" by speaking names listed in an electronic phone book.

Index Terms: Matlab, source, code, speech recognition, speech verification, speech matching, isolated, words.

Release 2.0 Date 2011.04.20
Major features:
  • Updated code for software compatibility
  • Test sounds included
Release 1.0 Date 2005.06.13
Major features:


Speech Recognition . It Luigi Rosa mobile +39 3207214179 luigi.rosa@tiscali.it
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