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    • Electrical Communication Engineering (ECE)
    • Browsing Electrical Communication Engineering (ECE) by Advisor
    •   etd@IISc
    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Electrical Communication Engineering (ECE)
    • Browsing Electrical Communication Engineering (ECE) by Advisor
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    Browsing Electrical Communication Engineering (ECE) by Advisor "Sreenivas, T V"

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      • Analysis Of Multichannel And Multimodal Biomedical Signals Using Recurrence Plot Based Techniques 

        Rangaprakash, D (2015-12-01)
        For most of the naturally occurring signals, especially biomedical signals, the underlying physical process generating the signal is often not fully known, making it difficult to obtain a parametric model. Therefore, signal ...
      • Auditory Timbre and Spatialisation: Signal Analysis and Perception of Source Widening 

        Arthi, S
        In this work, auditory perception of source widening is examined in the context of different source signal timbre. Perception of widening of source or auditory source width (ASW) arises in three cases: (i) In the presence ...
      • Blind Detection Techniques For Spread Spectrum Audio Watermarking 

        Krishna Kumar, S (2009-08-13)
        In spreads pectrum (SS)watermarking of audio signals, since the watermark acts as an additive noise to the host audio signal, the most important challenge is to maintain perceptual transparency. Human perception is a very ...
      • Improved GMM-Based Classification Of Music Instrument Sounds 

        Krishna, A G (2009-03-19)
        This thesis concerns with the recognition of music instruments from isolated notes. Music instrument recognition is a relatively nascent problem fast gaining importance not only because of the academic value the problem ...
      • Joint Evaluation Of Multiple Speech Patterns For Speech Recognition And Training 

        Nair, Nishanth Ulhas (2009-12-09)
        Improving speech recognition performance in the presence of noise and interference continues to be a challenging problem. Automatic Speech Recognition (ASR) systems work well when the test and training conditions match. ...
      • Joint Spectro-Temporal Analysis of Moving Acoustic Sources 

        Pelluri, Sai Gunaranjan
        Signals generated by fast moving acoustic sources are both challenging for analysis as well as rich in information. The motion is conceptually relative between the source and receiver i.e., either one of them is moving or ...
      • Language Identification Through Acoustic Sub-Word Units 

        Sai Jayram, A K V (2011-09-26)
      • MDCT Domain Enhancements For Audio Processing 

        Suresh, K (2011-05-10)
        Modified discrete cosine transform (MDCT) derived from DCT IV has emerged as the most suitable choice for transform domain audio coding applications due to its time domain alias cancellation property and de-correlation ...
      • Rate-Distortion Performance And Complexity Optimized Structured Vector Quantization 

        Chatterjee, Saikat (2011-02-09)
        Although vector quantization (VQ) is an established topic in communication, its practical utility has been limited due to (i) prohibitive complexity for higher quality and bit-rate, (ii) structured VQ methods which are not ...
      • Risk Estimation Strategies for Speech Signal Denoising 

        Sadasivan, Jishnu
        In automatic speech recognition (ASR) systems, the recognition performance is severely affected by noise in the input speech signal [2]. One can improve the performance of ASR systems in noisy environments by denoising ...
      • Robust Techniques Of Language Modeling For Spoken Language Identification 

        Basavaraja, S V (2009-07-23)
        Language Identification (LID) is the task of automatically identifying the language of speech signal uttered by an unknown speaker. An N language LID task is to classify an input speech utterance, spoken by an unknown ...
      • Robustness And Localization In Time-Varying Spectral Estimation 

        Viswanath, G (2012-11-23)
      • Spatial Analysis and Reconstruction of Reverberant Speech 

        Chetupalli, Srikanth Raj
        Speech signal includes the spoken message and a lot more information such as speaker emotion, identity, language, speaking location characteristic etc., which makes the human interaction lively, desirable and more useful. ...
      • Spectro-Temporal Features For Robust Automatic Speech Recognition 

        Suryanarayana, Venkata K (2011-01-18)
        The speech signal is inherently characterized by its variations in time, which get reflected as variations in frequency. The specto temporal changes are due to changes in vocaltract, intonation, co-articulation and successive ...
      • Timbre Perception of Time-Varying Signals 

        Arthi, S (2017-12-10)
        Every auditory event provides an information-rich signal to the brain. The signal constitutes perceptual attributes of pitch, loudness, timbre, and also, conceptual attributes like location, emotions, meaning, etc. In the ...
      • Time-Varying Signal Models : Envelope And Frequency Estimation With Application To Speech And Music Signal Compression 

        Chandra Sekhar, S (2011-09-09)
      • Who Spoke What And Where? A Latent Variable Framework For Acoustic Scene Analysis 

        Sundar, Harshavardhan (2016-09-15)
        Speech is by far the most natural form of communication between human beings. It is intuitive, expressive and contains information at several cognitive levels. We as humans, are perceptive to several of these cognitive ...

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