Pattern recognition
First Claim
1. Speech recognition apparatus comprising:
- a store of reference patterns representing speech to be recognised and non-speech sounds;
classification means to identify a sequence of said reference patterns corresponding to an input signal and, on the basis of the identified sequence, repeatedly to partition the input signal into at least one speech-containing portion and at least one non-speech portion;
a reference pattern generator for generating a new reference pattern corresponding to the said non-speech portion of the current input signal for subsequent use by said classification means for pattern identification purposes; and
output means to supply a recognition signal indicating recognition of the input signal in dependence on the identified sequence.
1 Assignment
0 Petitions
Accused Products
Abstract
Pattern recognition apparatus uses a recognition processor for processing an input signal to indicate its similarity to allowed sequences of reference patterns to be recognised. A speech recognition processor includes a classification arrangement to identify a sequence of patterns corresponding to said input signal and for repeatedly partitioning the input signal into a speech-containing portion and, preceding and/or following said speech-containing portion, noise or silence portions. A noise model generator is provided to generate a pattern of the noise or silence portion, for subsequent use by said classification means for pattern identification purposes. The noise model generator may generate a noise model for each noise portion of the input signal, which may be used to adapt the reference patterns.
49 Citations
12 Claims
-
1. Speech recognition apparatus comprising:
-
a store of reference patterns representing speech to be recognised and non-speech sounds; classification means to identify a sequence of said reference patterns corresponding to an input signal and, on the basis of the identified sequence, repeatedly to partition the input signal into at least one speech-containing portion and at least one non-speech portion; a reference pattern generator for generating a new reference pattern corresponding to the said non-speech portion of the current input signal for subsequent use by said classification means for pattern identification purposes; and output means to supply a recognition signal indicating recognition of the input signal in dependence on the identified sequence. - View Dependent Claims (2, 3, 4, 5, 6)
-
-
7. A method of pattern recognition comprising:
-
comparing an input signal with each of a plurality of allowable and non-allowable reference patterns; identifying a sequence of reference patterns that corresponds to the input signal and indicating recognition of the input signal in dependence on the identified sequence; identifying one or more portions of the input signal that is deemed not to correspond to allowable reference patterns; generating an additional non-allowable reference pattern for use in subsequent comparison from the identified portion of the input signal. - View Dependent Claims (8, 9)
-
-
10. Pattern recognition apparatus comprising:
-
a store of allowable and non-allowable reference patterns; comparison means for comparing successive portions of an input signal with each of the reference patterns and identifying a sequence of reference patterns that corresponds to the input signal; an output for outputting a signal indicating the sequence of reference patterns deemed to correspond to the input signal; means for identifying one or more portions of the input signal which is deemed not to correspond to an allowable reference pattern; and means for generating an additional non-allowable reference pattern from the identified portion of the input signal for subsequent use by the comparison means. - View Dependent Claims (11, 12)
-
Specification