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» Analysis-by-synthesis features for speech recognition
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ICASSP
2010
IEEE
13 years 9 months ago
Acoustic model adaptation via Linear Spline Interpolation for robust speech recognition
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
Michael L. Seltzer, Alex Acero, Kaustubh Kalgaonka...
ICASSP
2011
IEEE
13 years 1 months ago
Comparing multilayer perceptron to Deep Belief Network Tandem features for robust ASR
In this paper, we extend the work done on integrating multilayer perceptron (MLP) networks with HMM systems via the Tandem approach. In particular, we explore whether the use of D...
Oriol Vinyals, Suman V. Ravuri
TNN
2010
227views Management» more  TNN 2010»
13 years 4 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
TASLP
2008
131views more  TASLP 2008»
13 years 9 months ago
Histogram-Based Quantization for Robust and/or Distributed Speech Recognition
Abstract--In a distributed speech recognition (DSR) framework, the speech features are quantized and compressed at the client and recognized at the server. However, recognition acc...
Chia-Yu Wan, Lin-Shan Lee
VLSID
2004
IEEE
212views VLSI» more  VLSID 2004»
14 years 10 months ago
On Design and Implementation of an Embedded Automatic Speech Recognition System
We present a new design of an Embedded Speech Recognition System. It combines the aspects of both hardware and software design to implement a speaker dependent, isolated word, sma...
Sujay Phadke, Rhishikesh Limaye, Siddharth Verma, ...