Advertisement
Published in:
2005 | OriginalPaper | Chapter
Speaker Adaptation Techniques for Speech Recognition with a Speaker-Independent Phonetic Recognizer
Authors : Weon-Goo Kim, MinSeok Jang
Published in: Computational Intelligence and Security
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We present a new method that improves the performance of the speech recognition system with the speaker-independent (SI) phonetic recognizer. The performance of the speech recognition system with the SI phonetic recognizer is worse than that of the speaker dependent system due to the mismatch between the training utterances and a set of SI models. A new training method that iteratively estimates the phonetic templates and transformation vectors is presented to reduce the mismatch using speaker adaptation techniques. The stochastic matching methods are used to estimate the transformation vectors for speaker adaptation. The experiment performed over actual telephone line shows that a reduction of about 40% in the error rates could be achieved as compared to the conventional method.