Pattern recognition scheme using probabilistic models based on m

Details Pattern recognition scheme using probabilistic models based on m Pattern recognition scheme using probabilistic models based on m

1997-09-19

2000-05-16

Voeltz, Emanuel Todd

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704245, 704256, G10L 906

Patent

active

060649585

ABSTRACT:
A pattern recognition scheme using probabilistic models that are capable of reducing a calculation cost for the output probability while improving a recognition performance even when a number of mixture component distributions of respective states is small, by arranging distributions with low calculation cost and high expressive power as the mixture component distribution. In this pattern recognition scheme, a probability of each probabilistic model expressing features of each recognition category with respect to each input feature vector derived from each input signal is calculated, where the probabilistic model represents a feature parameter subspace in which feature vectors of each recognition category exist and the feature parameter subspace is expressed by using mixture distributions of one-dimensional discrete distributions with arbitrary distribution shapes which are arranged in respective dimensions. Then, a recognition category expressed by a probabilistic model with a highest probability among a plurality of probabilistic models is outputted as a recognition result.

REFERENCES:
patent: 5289562 (1994-02-01), Mizuta et al.
patent: 5506933 (1996-04-01), Nitta
patent: 5555320 (1996-09-01), Irie et al.
patent: 5680511 (1997-10-01), Baker et al.
patent: 5787230 (1998-07-01), Lee
patent: 5794198 (1998-08-01), Takahashi et al.
Takahashi et al. Discrete Mixture HMM. ICASSP-97. 971-974, 1997.
Sagayama et al. On the use of Scalar Quantization for Fast HMM Computation. ICASSP-95; vol. 1, 1995.
Yamada, et al. (1996) "Fast Output Probability Computation Using Scalar Quantization And Independent Dimension Multi-Mixture." ICASSP96 pp. 893-896.

Affiliated with

Also associated with

Rating

Pattern recognition scheme using probabilistic models based on m does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Pattern recognition scheme using probabilistic models based on m, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Pattern recognition scheme using probabilistic models based on m will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-267561