Publications by Sriram Ganapathy

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Although current trends in speech processing consider deep learning through data-driven technologies, many potential applications exhibit lack of training or development data. Therefore, considerably light signal processing techniques are still of interest ...

Idiap2020

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy, Amrutha Prasad

Although current trends in speech processing consider deep learning through data-driven technologies, many potential applications exhibit lack of training or development data. Therefore, considerably light signal processing techniques are still of interest ...

2019

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We present a scalable medium bit-rate wide-band audio coding technique based on frequency domain linear prediction (FDLP). FDLP is an efficient method for representing the long-term amplitude modulations of speech/audio signals using autoregressive models. ...

2010

Wide-Band Audio Coding based on Frequency Domain Linear Prediction

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

We revisit an original concept of speech coding in which the signal is separated into the carrier modulated by the signal envelope. A recently developed technique, called frequency-domain linear prediction (FDLP), is applied for the efficient estimation of ...

2010

Error Resilient Speech Coding Using Sub-band Hilbert Envelopes

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

Frequency Domain Linear Prediction (FDLP) represents a technique for auto-regressive modelling of Hilbert envelopes of a signal. In this paper, we propose a speech coding technique that uses FDLP in Quadrature Mirror Filter (QMF) sub-bands of short segment ...

Springer - Verlag, Berlin Heidelberg 20092009

Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

We present a new feature extraction technique for phoneme recognition that uses short-term spectral envelope and modulation frequency features. These features are derived from sub-band temporal envelopes of speech estimated using Frequency Domain Linear Pr ...

Idiap2009

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

Frequency domain linear prediction (FDLP) uses autoregressive models to represent Hilbert envelopes of relatively long segments of speech/audio signals. Although the basic FDLP audio codec achieves good quality of the reconstructed signal at high bit-rates ...

Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA;2009

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Frequency Domain Linear Prediction (FDLP) represents an efficient technique for representing the long-term amplitude modulations (AM) of speech/audio signals using autoregressive models. For the proposed analysis technique, relatively long temporal segment ...

Idiap2009

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

Frequency Domain Linear Prediction (FDLP) represents an efficient technique for representing the long-term amplitude modulations (AM) of speech/audio signals using autoregressive models. For the proposed analysis technique, relatively long temporal segment ...

2009

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

Frequency domain linear prediction (FDLP) uses autoregressive models to represent Hilbert envelopes of relatively long segments of speech/audio signals. Although the basic FDLP audio codec achieves good quality of the reconstructed signal at high bit-rates ...

Idiap2009

Sriram Ganapathy

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AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Wide-Band Audio Coding based on Frequency Domain Linear Prediction

Error Resilient Speech Coding Using Sub-band Hilbert Envelopes

Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

Phoneme Recognition Using Spectral Envelope and Modulation Frequency Features

APPLICATIONS OF SIGNAL ANALYSIS USING AUTOREGRESSIVE MODELS FOR AMPLITUDE MODULATION

Error Resilient Speech Coding Using Sub-band Hilbert Envelopes

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Wide-Band Audio Coding based on Frequency Domain Linear Prediction

MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction