140 results about "Voice Tag" patented technology

According to a present invention embodiment, a system utilizes a voice tag to automatically tag one or more entities within a social media environment, and comprises a computer system including at least one processor. The system analyzes the voice tag to identify one or more entities, where the voice tag includes voice signals providing information pertaining to one or more entities. One or more characteristics of each identified entity are determined based on the information within the voice tag. One or more entities appropriate for tagging within the social media environment are determined based on the characteristics and user settings within the social media environment of the identified entities, and automatically tagged. Embodiments of the present invention further include a method and computer program product for utilizing a voice tag to automatically tag one or more entities within a social media environment in substantially the same manner described above.

A method for providing information to generate distinguishing voices for text content attributable to different authors includes receiving a plurality of text sections each attributable to one of a plurality of authors; identifying which author authored each text section; assigning a unique voice tag id to each author; associating a distinct set of descriptive metadata with each unique voice tag id; and generating a set of speech information for each text section. The set of speech information generated for each text section is based upon the distinct set of descriptive metadata associated with the unique voice tag id assigned to the corresponding author of the text section. The set of speech information generated for each text section is configured to be used by a speech synthesizer to translate the text section into speech in a distinguishing computer-generated voice for the author of the text section.

Methods, systems, and products for voicemail searching that include storing, in association with voicemail messages, voiceprints of callers who leave voicemail messages for voicemail users in a voicemail system; storing caller speech tags in association with the voiceprints; identifying, in dependence upon caller voiceprints, callers who leave new voicemail messages; receiving, from a particular voicemail user, search keywords entered as speech and converted to text through automated speech recognition; and selecting, in dependence upon the search keywords and the caller speech tags, one or more selected voicemail messages from a multiplicity of voicemail messages for the particular voicemail user.

The invention discloses a smart voice interaction method and system. The method includes receiving voice data; performing voice recognition on the voice data and acquiring a voice recognition result;performing recognition rejection judgment on the voice recognition result according to a pre-constructed recognition rejection judgment model based on a semantic layer and acquiring a model output result; determining whether the voice data is man-machine interaction voice data or not according to the model output result; if the voice data is man-machine interaction voice data, performing semanticunderstanding on the voice recognition result and generating an interaction result according to a semantic understanding result, wherein the interaction result includes a response text. By utilizing the method and system provided by the invention, influence on man-machine interaction by noise-containing voice data can be reduced and error response of the man-machine interaction system is reduced.

The present invention relates to a voice tallying system to determine the relative participation of individual participants in a meeting. The voice tallying system according to the present invention comprises at least one voice recording device, a communication path from the voice recording device to a computing device having a voice analysis module. The voice tallying system and the method of the present invention include the capability to receive audio signals from each of the participants in a meeting and determine the identity of the speaker for each of the audio stream using voice profile information of the participants previously obtained and stored in the voice analysis module. The voice tallying system and the method further include the capability to tally the relative participation of a participant in a meeting in real time and as a result it is possible to display contemporaneously a voice tally for a participant with reference to that of other participants in the meeting.

The present invention relates to a method of providing voice recognition. The method comprises the steps of receiving a packetised voice data of a person to be identified over a packet-switched network, comparing the voice data with a stored voice data of a user and, based on the comparison, providing an indication of the likelihood that the person to be identified is the user, wherein the step of receiving the voice data comprises waiting for sufficient voice data to be received.

A caller ID feature on the mobile telephone identifies the telephone number of an incoming call and correlates the number with any corresponding voice tag stored in the personal directory. The voice tag associated with the incoming caller is delivered from the telephone to the headset where it is played to provide the user with an audio caller identification. In the absence of a voice tag, voice-synthesized numerals corresponding to the telephone number of the incoming call can be provided to the headset as an audio caller ID.

A voice-tag editor develops voice-tag “sounds like” pairs for a voice-tagging lexicon. The voice-tag editor is receptive of alphanumeric characters input by a user. The alphanumeric characters are indicative of a voice tag and/or “sounds like” text. The voice-tag editor is configured to allow the user to view and edit the alphanumeric characters. A text parser connected to the voice-tag editor generates normalized text corresponding to the “sounds like” text. The normalized text serves as recognition text for the voice tag and is displayed by the voice-tag editor. A storage mechanism is connected to the editor. The storage mechanism updates the lexicon with the alphanumeric characters which represent voice-tag “sounds like” pairs.

A computer program, which is used to voice talking to cause an information terminal to execute voice talking, managing an ID of the information terminal and a first address over a first network, stores instructions for execution on a computer system enabling the computer system to perform determining that the information terminal moves over a second network which is different from the first network, acquiring a second address over the second network, and transmitting a request for re-registering a combination of the second address and the ID instead of the first address into another device having a combination of the first address and the ID registered therein.

The invention relates to the information processing technology field and particularly relates to a voice identification method and a voice identification device. The method comprises steps that: voice data is acquired; the type of the voice data is automatically determined according to attribute information of the voice data; an acoustic model in matching with the type of the voice data is selected to carry out voice identification. Through the technical scheme, the corresponding acoustic model is established according to the type of the voice data, so establishment of the acoustic model is more accurate, the corresponding acoustic model in matching with the type of the voice data is selected to carry out voice identification, and thereby voice identification is more accurate.

Items are represented to a user through a user interface with each item having a respective perceivable range value and associated label by which the item can be addressed. To address a particular item, the user speaks its label at a loudness indicative of its perceived range. A loudness-to-range function of the interface determines on the basis of the loudness of the user input, a range gate expected to encompass the range value of the addressed item. A speech recogniser is used to recognise the spoken label and thus the addressed item, the label search space of the recogniser being restricted to exclude the labels of items having a range value outside of the determined range gate. In one embodiment, the user interface is an audio interface in which the items are represented in an audio field through corresponding synthesized sound sources, the depth at which each sound source is rendered in the audio field being the range value associated with the corresponding item.

A computer implemented method for providing a remotely accessible web-based address book includes the following steps. First, a user registers with a web-server and sets up an account. The web-server is configured to generate, store and provide access services to web-based address books. Next, the user uploads personal address book information and contacts in the account. Next, the web-server generates a personal web-based address book for the user based on the address book information and contacts and then adds voice tags and text tags to each entry in the user's personal web-based address book. Next, the web-server cross-correlates and matches the uploaded names and contact information of the user's personal contacts with information in other users' profiles stored in a central directory database. If a match exists between one of the uploaded user's personal contacts and a pre-existing user's profile in the central directory database, the web-server updates the pre-existing user's profile in the central directory database. If a match does not exist, the web-server generates a new user's profile in the central directory database. Next, the user accesses the personal web-based address book by placing a phone-call via a voice transmitting connection. Next, the web-server verifies the user's identity. Next, the user selects a personal contact in the user's personal web-based address book and the web-server places a phone-call to the selected personal contact.

A tag-based user interface scheme for digitizing and processing hardcopy documents utilizes a sticker that includes a printed data code representative of a user identity code and a service code. When the sticker is applied to a hardcopy document and scanned, the sticker is located, the data code is parsed, and a desired service is performed based upon the information stored in the data code.

A parser for natural language text is provided. The parser is trained by accessing a corpus of labeled utterances. The parser extracts details of the syntactic tree structures and part of speech tags from the labeled utterances. The details extracted from the tree structures include Simple Links which are the key to the improved efficiency of this new approach. The parser creates a language model using the details that were extracted from the corpus. The parser then uses the language model to parse utterances.

Systems and methods for automatically discovering and assigning symbols for identified text in a software application include identifying text for which symbol assignment is desired. The words within the identified text and selected surrounding words defining an observation sequence are subjected to a part of speech tagging algorithm to electronically determine one or more most likely part of speech tags for the identified text. Context relations between the identified text and selected surrounding keywords may also be identified. The identified text, part of speech tag(s) and/or determined relations are then analyzed to map the identified text to one or more identified word senses. Related word senses may also be analyzed to determine if any related word senses have symbols. One of the determined symbols may then be associated with the identified text such that the symbol is thereafter displayed in conjunction with or instead of the text in the application.

A system and method for voice and speech analysis which correlates a speaker signal source and a normalized signal comprising measurements of input acoustic data to a database of language, dialect, accent, and/or speaker attributes in order to create a transcription of the input acoustic data.

The present invention is a method of combining corpora to achieve consistency in phonetic labeling. Corpora are received. A first corpus is selected from the corpora. Generating a phonetic transcript if the first corpus does not include one. A second corpus is selected from the corpora. Generating a phonetic transcript if the second corpus does not include one. Each allophone in the second corpus is identified. At least one allophone is identified for each phone in the second corpus. For each phone in the second corpus, the allophone to which it most closely matches is identified. Each phone symbol in the phone transcript of the second corpus is replaced with a symbol for the corresponding identified allophone. The first corpus and second corpus are combined, including their phonetic transcripts, and designated as the first corpus. If there is another corpus in the corpora to be processed return to the step of selecting another second corpus.

The present invention provides systems and methods for the creation and use of voice tags in an electronic device. When tags are created an image handling unit receives a user selection of a voice tag that may be provided for locating at least one digital image, a sound recording unit records sound emitted by said user, which sound is stored as a sound file to be used as a tag for locating images. When image files are to be located the image handling unit receives the selection of searching for digital images using name tags from the user, the sound recording unit records sound emitted by said user, a voice recognition unit compares the sound with stored sound files and indicates a sound file corresponding to the received sound. The image file associated with the indicated sound file is then located.

The application discloses a voice recognition method and system based on deep learning. The method includes the following steps: acquiring a training data set, wherein the training data set includes atraining voice data set, a voice label and dialogue text information; training the training data set through a training process, and establishing an acoustic model and a language model; acquiring voice query request data; carrying out voice recognition on the voice query request data according to the acoustic model, the language model and a preset dictionary; and finally, outputting a voice recognition text result of the voice query request data. Through the voice recognition method based on deep learning provided by the application, voice consulting content input by customers can be accurately identified, the workload of the manual customer service staff needing to listen to all the consulting requests is reduced, and the time for customers to wait for response is reduced.

A Chinese speech recognition system and method is disclosed. Firstly, a speech signal is received and recognized to output a word lattice. Next, the word lattice is received, and word arcs of the word lattice are rescored and reranked with a prosodic break model, a prosodic state model, a syllable prosodic-acoustic model, a syllable-juncture prosodic-acoustic model and a factored language model, so as to output a language tag, a prosodic tag and a phonetic segmentation tag, which correspond to the speech signal. The present invention performs rescoring in a two-stage way to promote the recognition rate of basic speech information and labels the language tag, prosodic tag and phonetic segmentation tag to provide the prosodic structure and language information for the rear-stage voice conversion and voice synthesis.

The invention belongs to the technical field of mobile terminals, and discloses a voice taxi calling method comprising the steps that voice information of a user is detected in real time; when the mobile terminal responds to preset awakening information included in the voice information of the user under the standby state, a taxi calling software client side is awakened; and when the taxi calling software client side responds to destination information included in the voice information of the user, current position information of the mobile terminal is acquired, and the current position information and the destination information are transmitted to a taxi calling software server so that the taxi calling software server is enabled to start the taxi calling flow. The voice information of the user is identified, the awakening information and the destination information are acquired from the voice information of the user, the taxi calling software client side is awakened according to the awakening information and the current position information of the mobile terminal is acquired, and the destination information and the current position information are transmitted to the taxi calling software server so as to start the taxi calling flow. The taxi calling service can be realized by inputting the destination information for one time through the voice information.