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» Learning to Generate Fast Signal Processing Implementations
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ICASSP
2010
IEEE
13 years 7 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
VL
2005
IEEE
123views Visual Languages» more  VL 2005»
14 years 1 months ago
A Visually-Specified Code Generator for Simulink/Stateflow
On one hand, visual modeling languages are often used today in engineering domains, Mathworks’ Simulink/Stateflow for simulation, signal processing and controls being the prime ...
Sandeep Neema, Zsolt Kalmar, Feng Shi, Attila Vizh...
CORR
2011
Springer
170views Education» more  CORR 2011»
12 years 11 months ago
A Family of Adaptive Filter Algorithms in Noise Cancellation for Speech Enhancement
— In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapid...
Sayed A. Hadei, Mojtaba Lotfizad
SCOPES
2004
Springer
14 years 27 days ago
DSP Code Generation with Optimized Data Word-Length Selection
Digital signal processing applications are implemented in embedded systems with fixed-point arithmetic to minimize the cost and the power consumption. To reduce the application ti...
Daniel Menard, Olivier Sentieys
PPOPP
2010
ACM
14 years 4 months ago
The LOFAR correlator: implementation and performance analysis
LOFAR is the first of a new generation of radio telescopes. Rather than using expensive dishes, it forms a distributed sensor network that combines the signals from many thousands...
John W. Romein, P. Chris Broekema, Jan David Mol, ...