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Robust Speech Recognition and Understanding by Grimm M., Kroschel K. (Ed.) is a nonfiction available to read on EtoBox.

What is Robust Speech Recognition and Understanding about?

InTech, 2007. — 470 p. Digital speech processing is a major field in current research all over the world. In particular for automatic speech recognition (ASR). Very significant achievements have been made since the first attempts of digit recognizers in the 1950’s and 1960’s when spectral resonances were determined by analogue filters and logical circuits. As prof. Furui pointed out in his review on 50 years of automatic speech recognition at the 32nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2007, we may now see speech recognition systems in their 3.5th generation. Although there are many excellent systems for continuous speech recognition, speech translation and information extraction, ASR systems need to be improved for spontaneous speech. Furthermore, robustness under noisy conditions is still a goal that has not been achieved entirely if distant microphones are used for speech input. The automated recognition of emotion is another aspect in voice-driven systems that has gained much importance in recent years. For natural language understanding in general, and for the correct interpretation of a speaker’s recognized words, such paralin

Who reads Robust Speech Recognition and Understanding?

Author

Grimm M., Kroschel K. (Ed.)

Language

EN

Category

nonfiction

Subjects

Computer Science, Organization And Data Processing, Stem