The invention discloses a phonetic-level low
power consumption spoken language evaluation and defect diagnosis method without standard pronunciation. The method includes the following steps that (1) acoustic
feature extraction is conducted on user pronunciation to obtain a
feature vector sequence; (2) decoding operation is conducted on the
feature vector sequence of user pronunciation through a
Viterbi algorithm based on
a weighting finite state converter Q, so that the mapping relation from the
feature vector sequence to a phoneme sequence is obtained; (3) with respect to each phoneme, the pronunciation quality of the user on each phoneme is evaluated by calculating the
goodness of fit between a feature vector set corresponding to the phonemes and the mathematic representation of the phonemes in an
acoustic model H. The phonetic-level low
power consumption spoken language evaluation and defect diagnosis method without standard pronunciation has the advantages that the method is independent of standard pronunciation, all burdensome calculations are executed on a
server terminal, the calculation amount of a user terminal is minimized, the load and
power consumption on the terminals are effectively reduced, in the using process of the terminals, networking is needless, and network flow consumption is avoided; the phonemes which the user cannot pronounce well can be recognized, and targeted training is provided.