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Enhanced energy redistribution speech intelligibility algorithm with real-time implementation

Enhanced energy redistribution speech intelligibility algorithm with real-time implementation

TWO APPROACHES TO SPEECH INTELLIGIBILITY RESEARCH 1) Target cues in highly intelligible speech -- Clear speech -- Lombard effect -- Hyper-articulated speech 2) Target cues lost due to hearing impairment -- Loudness recruitment, elevated threshold

By roza
(114 views)

SRI 2001 SPINE Evaluation System

SRI 2001 SPINE Evaluation System

SRI 2001 SPINE Evaluation System. Venkata Ramana Rao Gadde Andreas Stolcke Dimitra Vergyri Jing Zheng Kemal Sonmez Anand Venkataraman. Results Dryrun, Evaluation What worked What didn't Fourier cepstrum revisited Evaluation Issues Future Work Conclusions. Talk Overview.

By lauren
(80 views)

M. Tech. project, EE Dept., IIT Bombay, Jun. 2013. Real-time Enhancement of Noisy Speech

M. Tech. project, EE Dept., IIT Bombay, Jun. 2013. Real-time Enhancement of Noisy Speech

M. Tech. project, EE Dept., IIT Bombay, Jun. 2013. Real-time Enhancement of Noisy Speech Using Spectral Subtraction Santosh K. Waddi (10307932) Supervisor: Prof. P. C. Pandey. IIT Bombay June 2013. Overview Introduction Speech Enhancement Using Spectral Subtraction

By abra
(361 views)

The YL2000 FTIR

The YL2000 FTIR

The YL2000 FTIR. YL2000 FTIR Features. General - A low cost and compact design of the YL2000 ensures High performance. - The YL2000 measures just 59 X 39 X 19 cm. - Optical design, software and firmware designed specifically reduce overall analytical times significantly.

By aelwen
(281 views)

Enhancement of Speech in Noisy Conditions Project Presentation Paul Coffey

Enhancement of Speech in Noisy Conditions Project Presentation Paul Coffey

Enhancement of Speech in Noisy Conditions Project Presentation Paul Coffey. Contents. Project Overview System Development Testing Conclusion. Project Overview. This project is about The “Enhancement of Speech in Noisy Conditions” Speech Enhancement is used in communications everywhere

By clarke
(130 views)

Comparison of Wavelet and FFT Based Single Channel Speech Signal Noise Reduction Techniques

Comparison of Wavelet and FFT Based Single Channel Speech Signal Noise Reduction Techniques

Comparison of Wavelet and FFT Based Single Channel Speech Signal Noise Reduction Techniques. Ningping Fan, Radu Balan, Justinian Rosca Siemens Corporate Research Inc. SPIE Optics East 2004. Shot Time Discrete Fourier Transform in Frequency Presentation. k = 0. k = 1. k = 2. k = 3. k = 4.

By koto
(167 views)

Meeting 6

Meeting 6

Meeting 6. Esfandiar Zavarehei Department of Electronic and Computer Engineering Brunel University 6 July, 2005. Review of Noise Reduction Methods (more Results) Review of the methods DFT-Kalman, a new method for parameter estimation Evaluation results and sample speech signals

By triage
(135 views)

Enhancement of Electrolaryngeal Speech by Reducing Leakage Noise Using Spectral Subtraction by

Enhancement of Electrolaryngeal Speech by Reducing Leakage Noise Using Spectral Subtraction by

Enhancement of Electrolaryngeal Speech by Reducing Leakage Noise Using Spectral Subtraction by Prem C. Pandey < pcpandey@ee.iitb.ac.in > EE Dept, IIT Bombay Electro Info Com’2007 / St Francis Inst. of Technology, Mumbai / 4-6 Jan’07. Abstract

By jaguar
(95 views)

Advances in WP1

Advances in WP1

Trento Meeting 11-12 January 2007. Advances in WP1. www.loquendo.com. WP1: Environment & Sensor Robustness T1.2 Noise Independence. Noise Reduction: Spectral Subtraction (YEAR 1) and Spectral Attenuation (YEAR2) Evaluation of feature normalization techniques in Loquendo ASR

By coty
(148 views)

Workshop “Research Domains in Electronics & Telecomm Engineering”, 9th July 2104,

Workshop “Research Domains in Electronics & Telecomm Engineering”, 9th July 2104,

Workshop “Research Domains in Electronics & Telecomm Engineering”, 9th July 2104, Vivekanand Education Society's Institute of Technology, Chembur , Mumbai – 400 074 Single-channel Speech Enhancement for Real-time Applications Prof P C Pandey SPI Lab, EE Dept., IIT Bombay

By haviva-jordan
(102 views)

Frequency Kalman Noise Reduction

Frequency Kalman Noise Reduction

Frequency Kalman Noise Reduction. Esfandiar Zavarehei Department of Electronic and Computer Engineering Brunel University 28 July, 2004. Y ( e jw ) = X ( e jw ) + N ( e jw ) | Y ( e jw )| 2 = | X ( e jw )| 2 + | N ( e jw )| 2 + +2 | X ( e jw )| | N ( e jw )| cos ( ∆ θ )

By kaye-ball
(95 views)

Digital Audio Signal Processing Lecture-4: Noise Reduction

Digital Audio Signal Processing Lecture-4: Noise Reduction

Digital Audio Signal Processing Lecture-4: Noise Reduction. Marc Moonen/Alexander Bertrand Dept. E.E./ESAT-STADIUS, KU Leuven marc.moonen@esat.kuleuven.be homes.esat.kuleuven.be /~ moonen /. Overview. Spectral subtraction for single -micr. noise reduction

By rosemary-mayo
(362 views)

Robustness Techniques for Speech Recognition

Robustness Techniques for Speech Recognition

Robustness Techniques for Speech Recognition. Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. References: 1. X. Huang et al. Spoken Language Processing (2001). Chapter 10

By vnixon
(1 views)


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