SPEECH RECOGNITION USING DSP

ABSTRACT:
This paper deals with the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. Speaker recognition methods can be divided into text-independent and text-dependent methods. In a text-independent system, speaker models capture characteristics of somebody's speech, which show up irrespective of what one is saying. In a text-dependent system, on the other hand, the ....etc

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Hello sir/mam,
I'm doing research on multimodal biometric recognition using face, ear and  gait biometrices. I've completed face and ear biometrics but can't move forward due to uncertainity in gait recognition.
  Please provide me the code for gait recognition.


Thank you,
Dhruv Jain ....etc

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A ticket to Super Bowl XXXV in Tampa Bay, Florida, didn't just get you a seat at the biggest professional football game of the year. Those who attended the January 2000 event were also part of the largest police lineup ever conducted, although they may not have been aware of it at the time. The Tampa Police Department was testing out a new technology, called FaceIt, that allows snapshots of faces from the crowd to be compared to a database of criminal mugshots.


Download Full Seminar Report
[url=http://worldcolleges.info/dow ....etc

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please give me the projet of rewards and recognition. I have to develop a reward and recognition scheme wgich would consists of schemes and the criterion for selecting the employees ....etc

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Submitted by:
Speech Recognition
Aditi.P
Swathi.Ch
SPEECH RECOGNITION
Abstract:
Language is man's most important means of communication and speech its primary medium. Speech provides an international forum for communication among researchers in the disciplines that contribute to our understanding of the production, perception, processing, learning and use. Spoken interaction both between human interlocutors and between humans and machines is inescapably ....etc

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Final Project Proposal Title
PAYMENT INFORMATION SYSTEM SCHOOL STUDENTS IN BASIC DOMESTIC LOJIWETAN SURAKARTA

Produced by:
NOVI Kusumawati
050202008A


B. Problem Background
In the last decade, the field of information and telecommunications revolution, especially for experienced computer device. Technology has changed the way people live and the effect on some aspects of life. Computers now become one of the devices being very useful for the community. Various computer use include the use of life in the ....etc

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Abstract

The reliable extraction of characteristic gait features from image sequences and their recognition are two important issues in gait recognition. In this paper, we propose a novel 2-step, model-based approach to gait recognition by employing a 5-link biped locomotion human model. We first extract the gait features from image sequences using the Metropolis-Hasting method. Hidden Markov Models are then trained based on the frequencies of these feature trajectories, from which recognition is performed. As it is ent ....etc

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Identification of Humans using Gait
IEEE Transactions on Image Processing, Vol. 13, No. 9, September 2004
Language: Java,

Abstract:
We propose a view-based approach to recognize humans from their gait. Two different image features have been considered: the width of the outer contour of the binarized silhouette of the walking person and the entire binary silhouette itself. To obtain the observation vector from the image features, we employ two different methods. In the first method, referred to as the indirect approach, the high-d ....etc

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SOurce code for number plate recognition with optical ....etc

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AUTOMATIC GAIT RECOGNITION
Abstract

Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gaitâ„¢s advantages are that it requires no contact, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we use computer vision techniques to derive a gait signature from a ....etc

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