LABORATORIO DE COMUNICACIÓN ORAL
ROBERT WAYNE NEWCOMB
R. Martínez, P. Gómez, A. Alvarez, V. Nieto, V. Rodellar, M. Rubio and M. Pérez
- "Dynamic Adjustment of the Forgetting Factor in Adaptive Filters for Non-Stationary Noise Cancellation in Speech".
- 1998 Int. Conf. on Acoustics, Speech and Signal Processing, ICASSP'98
- Seattle, Washington, USA, 12-15 May, 1998.
- The field of Speech Recognition in Noisy Environments is of vital importance
for the success of certain applications in the domain of Communications, Automotion,
Avionics, and other harsh situations where common recognizers fail to meet acceptable
standards due to the negative influence of environmental noise collected during the
recording of the Speech Trace . To overcome such difficulties, Adaptive Filtering
has been traditionally used with acceptable success in noise cancellation using
two-microphone schemes. Some problems found in such situations are due to the
non-stationary behavior of Speech and Noise, although the sudden changes in the energy
levels of both Speech and Noise are the cause of frequent misadjustments and un-locking
in the Adaptive Algorithms, rendering the task of noise cancellation a difficult one.
Through the present paper, a method based on the continuous tracking of the Energy
Differences between Speech and Noise is presented, which may be used for the dynamic
adaptation of the Forgetting Factor in the Adaptive Filters, producing an effective
control of the sudden changes in the Signal/Noise Ratio. The paper discusses the proposed
methods and shows some results from practical conditions. These results show good
stability and a special ability for Word-Boundary Detection under Highly Non-Stationary
Conditions, especially useful in Isolated-Word Speech Recognition.
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Madrid a 9 de junio de 2004