Using adaptive signal limiter together with noise-robust techniques for noisy speech recognition
نویسندگان
چکیده
In a speech recognition system, environmental mismatch between speech models and test speech causes serious performance degradation. To solve this environmental mismatch problem, smoothing process is one of the most widely used techniques. In this paper, an adaptive signal limiter (ASL) is developed to smooth speech features so that the undesired spectral variations could be effectively reduced. In addition, we propose the method for combining ASL with other noise-robust techniques in the recognition of noisy speech.
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Performance of speech recognition systems is greatly reduced when speech corrupted by noise. One common method for robust speech recognition systems is missing feature methods. In this way, the components in time - frequency representation of signal (Spectrogram) that present low signal to noise ratio (SNR), are tagged as missing and deleted then replaced by remained components and statistical ...
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