Isolated word, speaker independent speech recognition

Project Goals

To make appliances smart
Use Dynamic Time Warping algorithm
13 Mel frequency Cepstral coefficients as the extracted features
Gui development and hardware interface

submitted by
Kaustubh R. Kale
Guide: Dr. John G. Harris


Description

Schematic Diagram
Endpoint detection in Java
DTW analysis in Matlab
Parallel Port operations via C++
Demo ....etc

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to get information about the topic Recent Advances in Speech Recognition and Speaker Verification HDMI and DisplayPort related topic refer the page link bellow

http://seminarsprojects.net/Thread-apache-choppers-and-its-recent-advancements ....etc

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to get information about the topic gmm ubm for speaker verification related topic refer the page link bellow

http://seminarsprojects.net/Thread-robust-text-independent-speaker-verification ....etc

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To get full information or details of speaker verification please have a look on the pages

http://seminarsprojects.net/Thread-robust-text-independent-speaker-verification

if you again feel trouble on speaker verification please reply in that page and ask specific fields in speaker verification ....etc

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to get information about speech recognition full report full report, ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-speech-recognition-full-report

http://seminarsprojects.net/Thread-speech-recognition-using-dsp-full-report

http://seminarsprojects.net/Thread-speech-recognition-using-dsp-full-report?page=2

http://seminarsprojects.net/Thread-speech-recognition-full-report?page=2

http://seminarsprojects.net/Thread-artificial-intelligence-for-speech-recognition

http://seminarsprojects.net/Thread-speech-re ....etc

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The main algorithms used for speaker recognition are k-Nearest neighbour, neural network and gaussian mixture models(GMM).
In this paper, we propose a new usable speech extraction method to improve the SID performance under the co-channel situation based on the pitch information obtained
from a robust multi-pitch tracking algorithm.
http://cse.ohio-state.edu/ shaoy/yang_ICASSP03.PDF

An abstract taken from Comparing speaker recognition techniques is available here:
http://hanckmannold/documents/SpeakerRecogniti ....etc

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An Algorithm for Language Independent Speaker Identification


Introduction

Imagine a world where you do not require your wallet to pay your bill just your voice is needed.Speaker recognition will most likely make it possible in near future .
Speaker Recognition is a behavioral biometric in which an individual is identified/verified on the basis of his voice.
In today's world where security is of prime most concern Speaker recognition provides ....etc

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Text-Independent Speaker Verification
INTRODUCTION
Among the most popular measurements for biometric identification are fingerprint, face, and voice.the speaker
recognition area has a long and rich scientific basis with over
30 years of research, development, and evaluations.

a speaker verification system:


step 1:
It consists in extracting parameters
from the speech signal to obtain a representation
suitable for statistical modeling as such models are extensively
used in most state-of-the-art sp ....etc

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to get information about the topic automatic speaker recognition text independent system related topic refer the page link bellow

http://seminarsprojects.net/Thread-automatic-speaker-recognition?pid=38020&mode=threaded

http://seminarsprojects.net/Thread-automatic-speaker-recognition?pid=33766&mode=threaded ....etc

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Automatic speaker recognition



INTRODUCTION

Automatic speaker recognition has basically two classifications: speaker recognition and speaker identification and it is the method of automatically identifying who is speaking on the basis of individual information integrated in speech waves. Speaker recognition is widely applicable in use of speaker s voice to verify their identity and control access to services such as banking by telephone, database access services, voice dialing ....etc

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