NDLI: Recognition of Phonemes In a Continuous Speech Stream By Means of PARCOR Parameter In LPC Vocoder

Content Provider	IEEE Xplore Digital Library
Author	Ying Cui Takaya, K.
Copyright Year	2007
Description	Author affiliation: Univ. of Saskatchewan, Saskatoon (Ying Cui)
Abstract	Linear Predictive Coding (LPC) has been used to compress and encode speech signals for digital transmission at a low bit rate. LPC determines a FIR system that predicts a speech sample from the past samples by minimizing the squared error between the actual occurrence and the estimated. The coefficients of the FIR system are encoded and sent. At the receiving end, the inverse system called AR model is excited by a random signal to reproduce the encoded speech. The use of LPC can be extended to speech recognition since the FIR coefficients are the condensed information of a speech signal of typically 10ms -30ms. PARCOR parameter associated with LPC that represents a vocal tract model based on a lattice filter structure is considered for speech recognition. The use of FIR coefficients and the frequency response of AR model were previously investigated. [1] This paper reports the method to detect a limited number of phonemes from a continuous stream of speech. A system being developed slides a time window of 16 ms and calculates the PARCOR parameters continuously, feeding them to a classifier. A classifier is a supervised classifier that requires training. The classifier uses the Maximum Likelihood Decision Rule. The training uses TIMIT speech database, which contains the recordings of 630 speakers of 8 major dialects of American English. The classification results of some typical vowel and consonant phonemes segmented from the continuous speech are listed. The vowel and consonant correct classification rate are 65.22% and 93.51%. Overall, They indicate that the PARCOR parameters have the potential capability to characterize the phonemes.
Starting Page	1606
Ending Page	1609
File Size	309973
Page Count	4
File Format	PDF
ISBN	1424410207
ISSN	08407789
DOI	10.1109/CCECE.2007.402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-22
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Linear predictive coding Vocoders Finite impulse response filter Speech coding Bit rate Lattices Frequency response Maximum likelihood detection Maximum likelihood estimation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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