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Unit 3

This document discusses speech recognition techniques. It describes the major steps in a typical speech recognizer as signal processing, phoneme recognition, word recognition, and result generation. It also outlines challenges for speech recognition like vocabulary size, speaker dependency, and environmental noise. The document introduces standards for voice like VoiceXML and APIs for speech like the Java Speech API. It provides examples of speech applications and discusses approaches for speech in pervasive computing.

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15 views22 pages

Unit 3

This document discusses speech recognition techniques. It describes the major steps in a typical speech recognizer as signal processing, phoneme recognition, word recognition, and result generation. It also outlines challenges for speech recognition like vocabulary size, speaker dependency, and environmental noise. The document introduces standards for voice like VoiceXML and APIs for speech like the Java Speech API. It provides examples of speech applications and discusses approaches for speech in pervasive computing.

Uploaded by

prakashkey7
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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RSA ALGORITHM

RSA ALGORITHM
SYMMETRIC and ASYMMETRIC ENCRYPTION
https://www.javatpoint.com/symmetric-encryption-vs-asymmetric-encryption
Voice Technology:

Basics of Speech recognition


Speech- recognition techniques
▪ It is based on phonemes or words
▪ Speech signal transformed into frequency .
▪ Vowels – generates resonance frequency
▪ Consonants – produced by turbulent air flow.
Over view of continuous
speech recognition system.
…
▪ Digitized speech signal as input .
▪ Classificator –parametric representation.
▪ Grammatical decoder: Vocabulary & grammar rules
Speech recognition

▪ Speech recognition provides computers with the ability to listen to spoken


language and determine what has been said.
▪ In other words, it processes audio input containing speech by converting it to text.
The major steps of a typical speech recognizer
are as follows:
▪ Grammar design: Defines the words that may be spoken by a user and the
patterns in which they may be spoken.
▪ Signal processing: Analyzes the spectrum (i.e., the frequency) characteristics of
the incoming audio.
▪ Phoneme recognition: Compares the spectrum patterns to the patterns of the
phonemes of the language being recognized.
▪ Word recognition: Compares the sequence of likely phonemes against the words
and patterns of words specified by the active grammars.
▪ Result generation: Provides the application with information about the words the
recognizer has detected in the incoming audio.
Challenges of speech recognition.

▪ Isolated , connected and continue speech.


▪ Vocabulary size.
▪ Speaker dependent/speaker independent.
▪ Task and language constraints.
▪ Environmental noise.
▪ Channel quality.
▪ Line and digitized noise.
▪ Vocabulary ambiguity
Voice Standards.

Voice Standards.

Java
VoiceXML
SpeechAPI
Goals of VoiceXML Standardization.
▪ Creating & Delivery of Web-based, personalized, interactive voice-response
service.
▪ To enable phone and vice access to integrated call-center databases.
▪ To enable new voice-capable devices and applications.
Example of VoiceXML
The Java Speech API’

▪ javax.speech: Contains classes and interfaces for a generic speech engine


▪ javax.speech.synthesis: Contains classes and interfaces for speech synthesis.
▪ javax.speech.recognition: Contains classes and interfaces for speech recognition.
Speech Application
Speech Application

▪ Speech Dictation
▪ Telephone speech recognition
▪ Text-to-speech transformation
▪ Embedded speech recognition
Speech and pervasive computing

▪ Standard phone system with vice gateway on the other side of the phone line to
speech input.
▪ Anther approach using embedded speech recognition.
Voice gateway
Embedded speech recognition.

IBM’s PSA Together with an IBM WorkPad c2 Compaq iPAQ

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