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- Partha Niyogi, Christopher J. C. Burges, Padma Ramesh
- ICASSP
- 1999

An important aspect of distinctive feature based approaches to automatic speech recognition is the formulation of a framework for robust detection of these features. We discuss the application of the support vector machines (SVM) that arise when the structural risk minimization principle is applied to such feature detection problems. In particular, we… (More)

- Partha Niyogi, Padma Ramesh
- Speech Communication
- 2003

- Partha Niyogi, Padma Ramesh
- ICASSP
- 1998

We consider the possibility of incorporating distinctive features into a statistically based speech recognizer. We develop a two pass strategy for recognition with a standard HMM based first pass followed by a second pass that performs an alternative analysis to extract class-specific features. For the voiced/voiceless distinction on stops for an alphabet… (More)

- Padma Ramesh, Partha Niyogi
- ICSLP
- 1998

We examine the distinctive feature [voice] that separates the voiced from the unvoiced sounds for the case of stop consonants. We conduct acoustic-phonetic analyses on a large database and demonstrate the superior separability using a temporal measure (voice onset time; VOT) rather than spectral measures. We describe several algorithms to estimate the VOT… (More)

- Padma Ramesh, Chin-Hui Lee, Biing-Hwang Juang
- ICSLP
- 1998

Utterance verification is used in spoken language dialog systems to reject the speech that does not belong to the task and to correctly recognize the sentences that do. Current verification systems use context dependent (CD) or context independent (CI) subword models and CI anti-subword models. We propose many methods of modeling the CD anti-subword models.… (More)

- Padma Ramesh, David B. Roe
- ICSLP
- 1994

- P Ramesh
- 2016

A new idea was proposed to find out the stability and root location of two dimensional linear time invariant discrete system (LTIDS) for real coefficient polynomials. For determining stability the sign criterion is synthesized from the jury’s method for stability which is derived from the characteristic polynomial coefficients of the discrete system. The… (More)

- P. Ramesh
- 2016

This paper addresses the new algebraic test to check the aperiodic stability of two dimensional linear time invariant discrete systems. Initially, the two dimensional characteristics equations are converted into equivalent one-dimensional equation. Further Fuller’s idea is applied on the equivalent one-dimensional characteristics equation. Then using the… (More)

- Padma Ramesh, Jay G. Wilpon, Maureen A. McGee, David B. Roe, Chin-Hui Lee, Lawrence R. Rabiner
- EUROSPEECH
- 1991

- P. Ramesh, V. Manikandan
- 2014

A two-dimensional linear time invariant arises in image processing and geophysics for processing seismic, gravity as well as magnetic data. Two dimensional recursive filters in the frequency domain poses a great challenge in its stability which affects the output that need to be very accurate. Many algebraic schemes are on hand to test the stability of… (More)

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