Abstract:
A system for providing voice-to-text captioning service comprising a relay processor that receives voice messages generated by a hearing user during a call, the processor programmed to present the voice messages to a first call assistant, a call assistant device used by the first call assistant to generate call assistant generated text corresponding to the hearing user's voice messages, the processor further programmed to run automated voice-to-text transcription software to generate automated text corresponding to the hearing user's voice messages, use the call assistant generated text, the automated text and the hearing user's voice messages to train the voice-to-text transcription software to more accurately transcribe the hearing user's voice messages to text, determine when the accuracy exceeds an accuracy requirement threshold, during the call and prior to the automated text exceeding the accuracy requirement threshold, transmitting the call assistant generated text to the assisted user's device for display to the assisted user and subsequent to the automated text exceeding the accuracy requirement threshold, transmitting the automated text to the assisted user's device for display to the assisted user.
Abstract:
Improved systems and methods are provided for transcribing audio files of voice mails sent over a unified messaging system. Customized grammars specific to a voice mail recipient are created and utilized to transcribe a received voice mail by comparing the audio file to commonly utilized words, names, acronyms, and phrases used by the recipient. Key elements are identified from the resulting text transcription to aid the recipient in processing received voice mails based on the significant content contained in the voice mail.
Abstract:
A voice recognition server 200 has a voice reception unit 202 which receives a voice from a telephone equipment 100, a model storage unit 208 which stores at least one acoustic model and at least one language model used for converting the voice received by the voice reception unit 202, to character data, a number decision unit 204 which decides a current calling number and a second number of the telephone equipment 100, a model selection unit 206 which selects an acoustic model stored in the model storage unit 208, based on the current calling number and the second number, and which selects a language model stored in the model storage unit 208, based on the current calling number, and a voice recognition unit 210 which converts the voice received by the voice reception unit 202, to character data, based on the acoustic model and the language model selected by the model selection unit 206.
Abstract:
PROBLEM TO BE SOLVED: To improve performance of speech recognition by improving accuracy of a model, in a service in which multiple telephone numbers are utilized in one terminal. SOLUTION: A speech recognition server 200 includes: a speech receiving section 202 for receiving speech from a telephone 100; a model storage section 208 for storing one or more acoustic models and one or more language models, used for converting the speech received by the speech receiving section 202 into letters; a number determining section 204 for determining a present call number of the telephone 100 and the other numbers; a model selection section 206 for selecting the acoustic model stored in the model storage section 208 based on the present call number and the other numbers, and selecting the language model stored in the model storage section 208 based on the present call number; and a speech recognition section 210 for converting the speech received by the speech receiving section 202 into the letters, based on the acoustic model and the language model selected by the model selection section 206. COPYRIGHT: (C)2010,JPO&INPIT
Abstract:
PURPOSE: A user recognition type signal switching device of a handsfree system is provided to enhance a speech quality by comparatively judging an intensity of a sound in a car, sensing a position of a user where the strongest voice signal is generated and operating an audio speaker closest to the user. CONSTITUTION: When signals are inputted through signal input units(10), each being formed as a microphone installed at each seat in a car, a comparator(70) compares the amplitude of each input signal and selects a signal with the largest amplitude. A controller(30) connected to a mobile phone by a jack receives a signal from the mobile phone and transmits a signal outputted from the comparator(70) to the mobile phone. As a contact connected to an audio unit(50) is separated by signals from the comparator(70) and the controller(30), a switching unit(40) connects a circuit to an audio reproducing speaker(60). The switching unit(40) includes a plurality of relays(40a-40n) respectively connected to the speaker(60).
Abstract:
PURPOSE: A limited menu use method using voice recognition and a mobile phone using the same are provided to prevent the surreptitious use of other people and execute a menu using voice without operating a key button. CONSTITUTION: A memory unit(230) stores a program, setup information of a menu set by a user and voice data of the user. An audio processing unit(240) transmits voice data inputted through a microphone to a voice recognizing unit(250). The voice recognizing unit(250) extracts a voice of the user from the voice data transmitted through the audio processing unit(240), and recognizes the extracted voice of the user. A control unit(200) receives the voice data of the user, and stores the voice data extracted in the voice recognizing unit(250) and information about a menu designated by the user in the memory unit(230). If the execution request of the menu is received, the control unit(200) instructs the user to input a voice of secret word and compares the inputted voice data with the voice data stored in the memory unit(230). If the inputted voice data are identical to the voice data stored in the memory unit, the control unit(200) admits the execution of the corresponding menu.
Abstract:
PROBLEM TO BE SOLVED: To provide an association device for associating voice data of continuous requirements out of a plurality of voice data based on respective telephone calls, as a series of voice data, and an association method and a computer program. SOLUTION: The association device 1 derives a numeric value related to the relative frequency of requirement words and phrases common between the respective voice data and concerning the contents of requirements, as requirement similarity based on the result of voice recognition processing of a plurality of selected voice data (S102). The association device 1 derives similarity indicating the compared result of features of respective voices extracted from the plurality of voice data, as speaker similarity (S103). The association device 1 derives the degree of association indicating the possibility of the plurality of selected voice data being associated with one another based on the requirement similarity and speaker similarity (S104), and associates the plurality of selected voice data with one another when the degree of association is a preset threshold or more (S105). COPYRIGHT: (C)2010,JPO&INPIT