1992-06-11
1994-05-03
MacDonald, Allen R.
395 2, 395 24, 395 23, G10L 500
Patent
active
053095472
ABSTRACT:
A method of speech recognition includes the steps of analyzing input speech every frame and deriving feature parameters from the input speech, generating an input vector from the feature parameters of a plurality of frames, and periodically calculating partial distances between the input vector and partial standard patterns while shifting the frame one by one. Standard patterns correspond to recognition-object words respectively, and each of the standard patterns is composed of the partial standard patterns which represent parts of the corresponding recognition-object word respectively. The partial distances are accumulated into distances between the input speech and the standard patterns. The distances correspond to the recognition-object words respectively. The distances are compared with each other, and a minimum distance of the distances is selected when the input speech ends. One of the recognition-object words which corresponds to the minimum distance is decided to be a recognition result.
REFERENCES:
patent: Re33597 (1991-05-01), Levinson et al.
patent: 4852181 (1989-07-01), Morito et al.
patent: 4977599 (1990-12-01), Bohl et al.
patent: 5031217 (1991-07-01), Nishimura
patent: 5050215 (1991-09-01), Nishimura
patent: 5056143 (1991-10-01), Taguchi
patent: 5077798 (1991-12-01), Ichikawa et al.
patent: 5133012 (1992-07-01), Nitta
patent: 5148489 (1992-09-01), Erell et al.
patent: 5220609 (1993-06-01), Watanabe et al.
Hiraoka Shoji
Hoshimi Masakatsu
Kimura Tatsuya
Niyada Katsuyuki
Hafiz Tariq R.
MacDonald Allen R.
Matsushita Electric - Industrial Co., Ltd.
LandOfFree
Method of speech recognition does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method of speech recognition, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method of speech recognition will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2122039