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- Ramesh A. Gopinath
- ICASSP
- 1998

Maximum Likelihood (ML) modeling of multiclass data for classi cation often su ers from the following problems: a) data insu ciency implying overtrained or unreliable models b) large storage… (More)

- Peter Steffen, Peter N. Heller, Ramesh A. Gopinath, C. Sidney Burrus
- IEEE Trans. Signal Processing
- 1993

Orthonormal M-band wavelet bases have been constructed and applied by several authors. This paper makes three main contributions. First, it generalizes the minimal length Kregular 2-band wavelets of… (More)

Linear discriminant analysis (LDA) is known to be inappropriate for the case of classes with unequal sample covariances. In recent years, there has been an interest in generalizing LDA to… (More)

- Alain Tritschler, Ramesh A. Gopinath
- EUROSPEECH
- 1999

Detection of speaker, channel and environment changes in a continuous audio stream is important in various applications (e.g., broadcast news, meetings/teleconferences etc.). Standard schemes for… (More)

- Peder A. Olsen, Ramesh A. Gopinath
- IEEE Transactions on Speech and Audio Processing
- 2002

This paper proposes a new covariance modeling technique for Gaussian mixture models. Specifically the inverse covariance (precision) matrix of each Gaussian is expanded in a rank-1 basis i.e., /spl… (More)

- Trausti T. Kristjansson, John R. Hershey, Peder A. Olsen, Steven J. Rennie, Ramesh A. Gopinath
- INTERSPEECH
- 2006

We describe a system for model based speech separation which achieves super-human recognition performance when two talkers speak at similar levels. The system can separate the speech of two speakers… (More)

- Bing Xiang, Upendra V. Chaudhari, Jirí Navrátil, Ganesh N. Ramaswamy, Ramesh A. Gopinath
- 2002 IEEE International Conference on Acoustics…
- 2002

In this paper, a novel approach for robust speaker verification, namely short-time Gaussianization, is proposed. Short-time Gaussianization is initiated by a global linear transformation of the… (More)

- Scott Axelrod, Ramesh A. Gopinath, Peder A. Olsen
- INTERSPEECH
- 2002

We consider a family of Gaussian mixture models for use in HMM based speech recognition system. These “SPAM” models have state independent choices of subspaces to which the precision (inverse… (More)

- C. Julian Chen, Ramesh A. Gopinath, Michael D. Monkowski, Michael Picheny, Katherine Shen
- EUROSPEECH
- 1997

This paper introduces a novel speckle reduction method based on thresholding the wavelet coeecients of the logarithmically transformed image. The method is computational eecient and can signiicantly… (More)