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» The limits of speech recognition
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NOLISP
2007
Springer
14 years 4 months ago
On the Usefulness of Linear and Nonlinear Prediction Residual Signals for Speaker Recognition
This paper compares the identification rates of a speaker recognition system using several parameterizations, with special emphasis on the residual signal obtained from linear and...
Marcos Faúndez-Zanuy
EMNLP
2007
13 years 11 months ago
Learning Structured Models for Phone Recognition
We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
Slav Petrov, Adam Pauls, Dan Klein
CSL
2006
Springer
13 years 10 months ago
Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition
In this contribution, the Bayesian framework for interpretation of evidence when applied to forensic speaker recognition is introduced. Different aspects of the use of voice as ev...
Joaquin Gonzalez-Rodriguez, Andrzej Drygajlo, Dani...
NAACL
2010
13 years 8 months ago
Investigations into the Crandem Approach to Word Recognition
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...
Rohit Prabhavalkar, Preethi Jyothi, William Hartma...
CVPR
2012
IEEE
12 years 18 days ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...