Class / Patent application number | Description | Number of patent applications / Date published |
704242000 | Viterbi trellis | 7 |
20090248411 | Front-End Noise Reduction for Speech Recognition Engine - VoIP phones according to the present invention include a microphone, which may be internal or external, and allow the user to communicate unobtrusively, check voice mail and conduct other activities in an environment which can be noisy in general and extremely noisy sometimes. Speech recognition functionally may also be used to generate and send touch tone or DTMF tones such as in response to call trees or voice recognition functionality used by airlines, credit card companies, voice mail systems, and other applications. A system and method of audio processing which provides enhanced speech recognition is provided. Audio input is received at the microphone which is processed by adaptive noise cancellation to generate an enhanced audio signal. The operation of the speech recognition engine and the adaptive noise canceller may be advantageously controlled based on Voice Activity Detection (VAD). | 10-01-2009 |
20100161329 | VITERBI DECODER AND SPEECH RECOGNITION METHOD USING SAME - A Viterbi decoder includes: an observation vector sequence generator for generating an observation vector sequence by converting an input speech to a sequence of observation vectors; a local optimal state calculator for obtaining a partial state sequence having a maximum similarity up to a current observation vector as an optimal state; an observation probability calculator for obtaining, as a current observation probability, a probability for observing the current observation vector in the optimal state; a buffer for storing therein a specific number of previous observation probabilities; a non-linear filter for calculating a filtered probability by using the previous observation probabilities stored in the buffer and the current observation probability; and a maximum likelihood calculator for calculating a partial maximum likelihood by using the filtered probability. The filtered probability may be a maximum value, a mean value or a median value of the previous observation probabilities and the current observation probability. | 06-24-2010 |
20100332228 | METHOD AND APPARATUS FOR IMPROVING MEMORY LOCALITY FOR REAL-TIME SPEECH RECOGNITION - According to some embodiments, a method and apparatus are provided to buffer N audio frames of a plurality of audio frames associated with an audio signal, pre-compute scores for a subset of context dependent models (CDMs), and perform a graphical model search associated with the N audio frames where a score of a context independent model (CIM) associated with a CDM is used in lieu of a score for the CDM when a score for the CDM is needed and has not been pre-computed. | 12-30-2010 |
20120035927 | Information Processing Apparatus, Information Processing Method, and Program - An information processing apparatus includes a plurality of information input units that inputs observation information of a real space, an event detection unit that generates event information including estimated position information and estimated identification (ID) information of a user present in the real space based on analysis of the information input from the information input unit, and an information integration processing unit that inputs the event information, and generates target information including a position and user ID information of each user based on the input event information and signal information representing a probability value for an event generating source. Here, the information integration processing unit includes an utterance source probability calculation unit having an identifier, and calculates an utterance source probability based on input information using the identifier in the utterance source probability calculation unit. | 02-09-2012 |
20140006023 | METHOD AND APPARATUS TO SEARCH FIXED CODEBOOK | 01-02-2014 |
20140088963 | METHOD, APPARATUS, AND ACCESS NETWORK SYSTEM FOR SPEECH SIGNAL PROCESSING - A method and an apparatus for speech signal processing are provided. The method includes: receiving an encoded speech signal sent by a user equipment, where the encoded speech signal includes a first substream, a second substream, and a third substream, and the first substream is attached with a cyclic redundancy check (CRC); performing decoding processing on the first substream, the second substream, and the third substream by adopting a decoding algorithm, where a decoding algorithm that is based on an auxiliary decision of the CRC is adopted to perform decoding processing on the first substream; and sending decoding results of the first substream, the second substream, and the third substream to a base station controller, where the decoding result of the first substream includes a decoded bit stream and a CRC result. Decoding performance of the first substream is improved, and users' higher requirements for the speech quality are met. | 03-27-2014 |
20140324426 | REMINDER SETTING METHOD AND APPARATUS - The present invention, pertaining to the field of speech recognition, discloses a reminder setting method and apparatus. The method includes: acquiring speech signals; acquiring time information in speech signals by using keyword recognition, and determining reminder time for reminder setting according to the time information; acquiring text sequence corresponding to the speech signals by using continuous speech recognition, and determining reminder content for reminder setting according to the time information and the text sequence; and setting a reminder according to the reminder time and the reminder content. According to the present invention, acquiring time information in speech signals by using keyword recognition ensures correctness of time information extraction, and achieves an effect that correct time information is still acquired by keyword recognition to set a reminder even in the case that a recognized text sequence is incorrect due to poor precision in whole text recognition in the speech recognition. | 10-30-2014 |