Hyundai Motor Company

Lg Electronics Inc.

KyuSeop Bang

Chang Heon Lee

Chang-Heon Lee

A voice recognition system in a vehicle includes: a first microphone mounted in the vehicle that collects voice data of an occupant of the vehicle; a second microphone provided in a mobile device of the occupant that collects voice data of the occupant; and a voice recognition device connected to the mobile device through local wireless communication including a noise elimination portion eliminating noise in the voice data collected by the first microphone or the second microphone and a voice recognition portion performing voice recognition using the voice data from which noise is eliminated by the noise elimination portion.

Voice recognition device and method in vehicle

A speech recognition device is configured to increase usability by retrying speech recognition without returning to a previous operation or a re-input of speech when a user's speech is misrecognized. The speech recognition device is further configured increase accuracy of recognition by changing a search environment when the user's speech is misrecognized or when re-recognition is performed since the recognized speech is rejected due to a low confidence. A vehicle includes a speech input device configured to receive speech; and a speech recognition device configured to recognize the received speech and output a recognition result of the received speech. The speech recognition device resets a recognition environment applied to speech recognition and re-recognizes the received speech when a re-recognition instruction is input by a user, and resets the reset recognition environment to an initial value when the re-recognition is completed.

Speech recognition device, vehicle having the same, and speech recognition method

A voice recognition apparatus including: a context model created by modeling recognition target context; and a voice recognizer configured to create a candidate group corresponding to a received voice signal based on an acoustic model and the context model, and to apply a high reliability weight value to a candidate having a length of syllables corresponding to a length of speech.

Voice recognition apparatus, vehicle having the same, and method of controlling the vehicle

A speech recognition system includes: a context storage medium storing a monosyllabic command context including a plurality of monosyllabic commands and storing a polysyllabic command context including a plurality of polysyllabic commands; a speech segment detector detecting a speech segment having a start point and an end point by analyzing a speech signal within the speech segment; a syllable determiner configured determining whether the speech signal corresponds to a monosyllabic form or a polysyllabic form; a feature vector extractor extracting a feature vector by analyzing the speech signal; and a speech recognizer selecting one of the monosyllabic command context and the polysyllabic command context according to the determination of whether the speech signal corresponds to the monosyllabic form or the polysyllabic form and recognizing at least one command in the selected one of the monosyllabic command context and the polysyllabic command context based on the extracted feature vector.

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Gyeonggi-do, South Korea

KyuSeop Bang