Robust recognition methods
Automatic speech recognition
Article REF: H3728 V3
Robust recognition methods
Automatic speech recognition

Author : Jean-Paul HATON

Publication date: October 10, 2018 | Lire en français

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6. Robust recognition methods

6.1 Problem position

The performance of currently available recognition systems is good under well-controlled conditions of use. This performance is highly dependent on the complexity and difficulty of the task in hand. Thus, on average, error rates measured in the laboratory, in speaker-independent mode, can range from 0.3% (for sequences of numbers) to 5% (for a vocabulary of 20,000 words in continuous speech), then to 8% (for spelled-out letters), and up to 55% for spontaneous telephone conversations!

Furthermore, the error rate increases dramatically when the conditions under which a system is trained and used are different (particularly with regard to noise type and level).

As an example, figure...

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