http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CA-1236578-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-10
filingDate 1985-11-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 1988-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_305978f08379de1d2a2d5911563b69ca
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_19dd875459884284db1470cae00eeab7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_25f07bd684621db3a44ceaf7dc01612b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_df0e439381fab7c0c71a55e86a8df206
publicationDate 1988-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CA-1236578-A
titleOfInvention Feneme-based markov models for words
abstract FENEME-BASED MARKOV MODELS FOR WORDS Abstract In a speech recognition system, apparatus and method for modelling words with label-based Markov models is disclosed. The modelling includes: entering a first speech input, corresponding to words in a vocabulary, into an acoustic processor which converts each spoken word into a sequence of standard labels, where each standard label corresponds to a sound type assignable to an interval of time; representing each standard label as a probabilistic model which has a plurality of states, at least one transition from a state to a state, and at least one settable output probability at some transitions; entering selected acoustic inputs into an acoustic processor which converts the selected acoustic inputs into personalized labels, each personalized label corresponding to a sound type assigned to an interval of time; and setting each output probability as the probability or the standard label represented by a given model producing a particular personalized label at a given transition in the given model. The present invention addresses the problem of generating models of words simply and automatically in a speech recognition system.
priorityDate 1985-02-01-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID450532993
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID163751

Total number of triples: 17.