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Phd thesis in speech recognition - SLS Publications


2010 Generating politeness for conversational systems aimed to teach English as a second language Guthrie, DV 2008 Unsupervised Detection of Anomalous Text Hall, P. PhD Thesis, Computer Engineering and Networks Laboratory, ETH Zurich, Switzerland, January 2009. 1999 The Semantics of Database Query Languages Bujang Masli, A. 2004 LEEP Learning Event Extraction Patterns Vanak, S.

PhD Thesis, Computer Engineering and Networks Laboratory, ETH Zurich, Switzerland, October, 2012. 2008 A Formal Framework for the Modelling of Multi-Agent Systems with Dynamic Structure Stannett, M. The Clarion cochlear implant has various parameters that can be manipulated and Clarion patients can be fitted with several speech processing strategies. Bazzi, Modelling Words for Robust Speech Recognition.


2000 Automated testing of Harel s statecharts Bontcheva, K. Download thesis A MULTI-BAND SPECTRAL SUBTRACTION METHOD FOR SPEECH ENHANCEMENT Sunil Devdas Kamath, M. Although many studies investigated the of high-pass, low-pass and band-pass filtered speech, not many studies investigated the perception of band-stop filtered speech i. Results indicated that the MMSE estimator yielded less residual noise in the enhanced speech than the traditional Gaussian-based MMSE estimator.


Dictation is simply faster than typing, and the time saved adds up over each page. P Manohar, The Multimodal Interaction for the Computer An Application independent Approach, M. Lee, Probabilistic Segmentation for Segment-based Speech Recognition, M.

PhD Thesis, Computer Engineering and Networks Laboratory, ETH Zurich, Switzerland, 1996. Schutte, Parts-based Models and Local Features for Automatic Speech Recognition. Nikhil Ranjan GARCH Models for TCP Based Denial of Service, co-guide T A Gonsalves M S Thesis, 2010.


Download thesis SPEECH ENHANCEMENT USING A MMSE ESTIMATOR OF THE MAGNITUDE SPECTRUM Chen Bin, PhD December 2005 A number of speech enhancement algorithms based on MMSE spectrum estimators have been proposed over the years. 2008 Formal Software Architecture for Agent-Based Modelling in Biology Collier, R. In the present work we investigate the effect of various factors such as filter spacing, relative phase, spectral up-shifting, carrier frequency and phase perturbation on melody recognition in acoustic hearing. J Srichand, Word Boundary Detection in Indian Languages and its Application to Keyword Spotting, M. This thesis investigates the affect of colored noise viz. thesis, MIT Department of Electrical Engineering and Computer Science, August 1999. A better and more efficient approach is to integrate the noise reduction mechanism into the cochlear implant signal processing. It supports all the most recent and most effective techniques for speech recognition. 2010 High performance agent based modelling on graphics card hardware Roberts, A. The spectral subtraction method has some inherent limitations and drawbacks.

Speech recognition results showed that the performance obtained with the CIS strategy was not statistically different with the performance obtained with the PPS, QPS, the hybrid strategies in quiet, and with the 6-of-8 strategy in noise. PhD Thesis, Computer Engineering and Networks Laboratory, ETH Zurich, Switzerland, March, 2011.

Thus, there is a considerable gap between human-machine due to their lack of robustness in the composite auditory scene. thesis, MIT Department of Electrical Engineering and Computer Science, September 2000.


Lee, A Approach to Detection, S. PhD Thesis, Computer Engineering and Networks Laboratory, ETH Zurich, Switzerland, April, 2011.

Integrated Media Systems Center, Department of Electrical University of Southern California, Los Angeles, United States. Bernhard Raget Buchli Power Subsystem Design and Management for Solar Energy Harvesting Embedded System. Matthias Keller Mastering Imperfect and Partial Information in Wireless Sensing Systems. Park, Unsupervised Pattern Discovery in Speech Applications to Word Acquistion and Speaker Segmentation. Hazen, The Use of Speaker Correlation Information for Automatic Speech Recognition. The subband processing is done using relatively short fixed FIR filters. Stern Interspeech 2017, August 2017, Stockholm, Sweden.

M Kasirajan, Patram A unified word processing system for handwritten character recognition in Indian languages, Co-guide Dr. 2010 A Performance Evaluation of a New Bitmap-based XML Processing Approach Al-Johar, B. While there are a number of variables to account for, most studies generally agree on how quickly an average person can type from 38 to 40 words per minute, as reported in the Houston Chronicle. Recently several editors specialized for editing program sources, text, and data structures have been developed. The guidelines, suitable for any problem whose variables are integers, are applied to address a bi-objective 0-1 knapsack problem.


Department of Electrical and Computer Engineering, Carnegie Mellon University 1992 Kraljevski, I.

Srinivasa Chakravarthy, Dept of BT, MS Thesis, IIT Madras, 2008. Bazzi, Modelling Words for Robust Speech Recognition.

This method provides a greater degree of flexibility and control on the noise subtraction levels that reduces artifacts in the enhanced speech, resulting in improved speech quality. 2004 Detection and of Figurative Language Use WordNet Petreska, I. September, 2005, Lisbon, Portugal. College of Engg, A bad 2011-2012 41 Person Recognition from Their Hum Mr. These rooms have very low, low, medium and high reverberation times respectively. MIT Department of Electrical Engineering and Computer Science, June 2002.

of the International Conference of Spoken Language Processing, October, 2000, Beijing, China.


Results showed substantial improvement for sentence recognition under both stationary and non-stationary noise conditions.


Pranav Hamnabhadkar, Pattern Recognition and Synthesis of Materials Co-guide Dr. A beam search is essentially a controlled, heuristic breadth-first search that manages the size of a tree by keeping only elite nodes and discarding others Ball, 2011. For students working on an thesis, voice recognition software makes it simple to record results in a convenient digital format. 1992 Intelligent Matching Of Structured Objects Application To Automatic Speech Recognition Bozorgizadeh, M. 2010 Digitsation and 3D Shape analysis of drosophila sperm curves Peersman, G. Further, visual modality plays a vital role in computer vision systems when the acoustic modality is disturbed by the background noise.

Built upon the Bluetooth technology, the proposed phone adapter routes the telephone audio signal to the hearing aid or the CI processor wirelessly, and hence disables environmental noise and interference. MIT Department of Electrical Engineering and Computer Science, June 1998. 2000 Automated testing of Harel s statecharts Bontcheva, K. Two different methods of splitting the spectral information were investigated. Six different strategies were implemented and tested with 12 Clarion implant patients 10 CIS users and 2 SAS users.

Noise Adaptation in a Hidden Markov Model Speech Recognition System. The proposed algorithm has the potential to increase speech for the people by estimating a wide-band signal from the narrow-band telephone signal.

Stern Interspeech 2009, September 2009, Brighton, United Kingdom.

Subjects with small channel interaction are most likely to benefit with the high rates of stimulation provided by the PPS and QPS strategies. Theses in Speech Processing Lab at UT-Dallas Student s Theses CONTRIBUTION OF ACOUSTIC LANDMARKS TO SPEECH RECOGNITION IN NOISE BY COCHLEAR IMPLANT USERS Ning Li, PhD December 2009 Cochlear implant CI user s performance degrades significantly in noisy environments, especially in non-steady noisy conditions. thesis, MIT Department of Electrical Engineering and Computer Science, February 2003. Preview Text Mortaza Doulaty PhD Thesis thesis Mortaza Doulaty before WhiteRose submission. thesis, MIT Department of Electrical Engineering and Computer Science, May 2003. Minimization of number of workstations is used as the performance measure. To detect the landmarks used in the selective compression strategy, automatic detection algorithms were developed to handle adverse speech conditions.

Sun, Speech Representation Models for Speech Synthesis and Multimodal Speech Recognition, M. Download thesis SPEECH ENHANCEMENT USING A MMSE ESTIMATOR OF THE MAGNITUDE SPECTRUM Chen Bin, PhD December 2005 A number of speech enhancement algorithms based on MMSE spectrum estimators have been proposed over the years. Hybrid HMM ANN speech recognition system in Macedonian.


2002 A Comparison of Theoretical and Human Greenwood, M. 1998 A Computational Model of the Perceptual Organisation of Polyphonic Music Gonidis, F.


Malde Currently Faculty at GATE Academy 2012-2013 34 HMM Based Speech Synthesis System in Gujarati Mr. discriminant analysis and reduced rank hmms for improved speech recognition. The foundations of modern HMM-based continuous speech recognition technology were laid down in the 1970s by groups at Carnegie Mellon and IBM who introduced the use of discrete density HMMs 16 17 18, and then later at Bell Laboratories 19 20 21 where continuous density HMMs were introduced. Livescu, Analysis and Modeling of Non-Native Speech for Automatic Speech Recognition, S.

If you want a ready-to-use software able to cope with large vocabulary continuous speech recognition in a reliable way, then you have to buy it. PhD Thesis, Computer Engineering and Networks Laboratory, ETH Zurich, Switzerland, November 1999.

Stern Interspeech 2008, September 2008, Brisbane, Australia.


The Clarion cochlear implant has various parameters that can be manipulated and Clarion patients can be fitted with several speech processing strategies.

It was found, Pw-EDC adaptation gives better performance in all the rooms of both environments. We further wavelet threshold the multitaper spectrum to reduce the estimation variance.


Nikhil Ranjan GARCH Models for TCP Based Denial of Service, co-guide T A Gonsalves M S Thesis, 2010. Marco Zimmerling End-to-end Predictability and Efficiency in Low-power Wireless Networks.

the speech recognition software listed in the wiki page are tools for the development of a speech recognizer. Lee, LanguageLand A Multimodal Conversational Spoken Language Learning System, M.

Unlike current computational approaches, all three of these models are implemented with biologically plausible spiking neurons, which can be simulated with neuromorphic hardware, and can interface naturally with artificial cochleas.

Chang, Large-Margin Gaussian Mixture Modeling for Automatic Speech Recognition, S. fusion technique is an imperative part of multiple cameras computer vision applications.


The spectral subtraction method has some inherent limitations and drawbacks.


Kuo, An XML Messaging Protocol for Multimodal Galaxy Applications, M.

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