2485 results about "Speech synthesis" patented technology

A voice-enabled help desk service is disclosed. The service comprises an automatic speech recognition module for recognizing speech from a user, a spoken language understanding module for understanding the output from the automatic speech recognition module, a dialog management module for generating a response to speech from the user, a natural voices text-to-speech synthesis module for synthesizing speech to generate the response to the user, and a frequently asked questions module. The frequently asked questions module handles frequently asked questions from the user by changing voices and providing predetermined prompts to answer the frequently asked question.

This invention involves a virtual environment created through the combination of technologies. The invention employs the knowledge and experience of a Personal Assistant or Host, created through Artificial Intelligence applications, which assists and guides the user of the environment to products and/or services that they will most likely be interested in purchasing or requiring. The intelligent assistant's choices are based on its experiences with the specific user. The intelligent assistant communicates with the user by means of a speech recognition and speech synthesis device. This invention is an easy to use virtual reality environment that takes advantage of existing technologies and global communications networks such as the Internet without requiring any given degree of computer literacy. This invention includes a virtual intelligent assistant for each user which adapts to its user as it provides individualized guidance. The intelligent assistant or avatar projects human-like features and behaviors appropriate to the preferences of its user and appears as a virtual person to the user.

A text processing system for processing multi-lingual text for a speech synthesizer includes a first language dependent module for performing at least one of text and prosody analysis on a portion of input text comprising a first language. A second language dependent module performs at least one of text and prosody analysis on a second portion of input text comprising a second language. A third module is adapted to receive outputs from the first and second dependent module and performs prosodic and phonetic context abstraction over the outputs based on multi-lingual text.

A text-to-speech system adapted to operate on text in a first language including sections in a second language, includes a grapheme/phoneme transcriptor for converting the sections in the second language into phonemes of the second language; a mapping module configured for mapping at least part of the phonemes of the second language onto sets of phonemes of the first language; and a speech-synthesis module adapted to be fed with a resulting stream of phonemes including the sets of phonemes of the first language resulting from mapping and the stream of phonemes of the first language representative of the text, and to generate a speech signal from the resulting stream of phonemes.

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.

Provided is a method and apparatus for speech synthesis of a text message. The method includes receiving input of voice parameters for a text message, storing each of the text message and the input voice parameters in a data packet, and transmitting the data packet to a receiving terminal.

Personalized agent services are provided in a personal messaging device, such as a cellular telephone or personal digital assistant, through services of a speech recognizer that converts speech into text and a text-to-speech synthesizer that converts text to speech. Both recognizer and synthesizer may be server-based or locally deployed within the device. The user dictates an e-mail message which is converted to text and stored. The stored text is sent back to the user as text or as synthesized speech, to allow the user to edit the message and correct transcription errors before sending as e-mail. The system includes a summarization module that prepares short summaries of incoming e-mail and voice mail. The user may access these summaries, and retrieve and organize email and voice mail using speech commands.

A dialog device comprises a natural language interfacing device (chat interface or a telephonic device), and a natural language output device (the chat interface, a display device, or a speech synthesizer outputting to the telephonic device). A computer stores natural language dialog conducted via the interfacing device and constructs a current utterance word-by-word. Each word is chosen by applying a plurality of language models to a context comprising concatenation of the stored dialog and the current utterance thus far. Each language model outputs a distribution over the words of a vocabulary. A recurrent neural network (RNN) is applied to the distributions to generate a mixture distribution. The next word is chosen using the mixture distribution. The output device outputs the current natural language utterance after it has been constructed by the computer.

A speech processing system includes a multiplexer that receives speech data input as part of a conversation turn in a conversation session between two or more users where one user is a speaker and each of the other users is a listener in each conversation turn. A speech recognizing engine converts the speech data to an input string of acoustic data while a speech modifier forms an output string based on the input string by changing an item of acoustic data according to a rule. The system also includes a phoneme speech engine for converting the first output string of acoustic data including modified and unmodified data to speech data for output via the multiplexer to listeners during the conversation turn.

The speech synthesizer is personalized to sound like or mimic the speech characteristics of an individual speaker. The individual speaker provides a quantity of enrollment data, which can be extracted from a short quantity of speech, and the system modifies the base synthesis parameters to more closely resemble those of the new speaker. More specifically, the synthesis parameters may be decomposed into speaker dependent parameters, such as context-independent parameters, and speaker independent parameters, such as context dependent parameters. The speaker dependent parameters are adapted using enrollment data from the new speaker. After adaptation, the speaker dependent parameters are combined with the speaker independent parameters to provide a set of personalized synthesis parameters. To adapt the parameters with a small amount of enrollment data, an eigenspace is constructed and used to constrain the position of the new speaker so that context independent parameters not provided by the new speaker may be estimated.

Extensive social communication is induced. Connection is made with a network terminal capable of connecting to the Internet, and an image and voice signal reflecting the subjective visual field of the user and the like which can be obtained from the headset system that can be worn by the user on the head is uploaded via the network terminal to a knowledge-information-processing server system, and specifying and selecting of an attention-given target by the voice of the user himself/herself are enabled on the server system with collaborative operation with the voice recognition system with regard to a specific object and the like to which the user gives attention and which is included in the image, and with regard to the series of image recognition processes and image recognition result made by the user, image recognition result and recognition processes thereof are notified as voice information to an earphone incorporated into the headset system of the user by way of the user's network terminal via the Internet by the server system with collaborative operation with a voice-synthesizing system, so that user's message or tweet can be extensively shared by users.

The present invention includes: a characteristic parameter DB 106 that holds, with respect to each speech-unit, speech-unit data indicating a loan word attribute and acoustic characteristics; a language analysis unit 104 and a prosody prediction unit 109 that obtain text data and respectively predict a loan word attribute and acoustic characteristics of each of a plurality of speech-units that form text indicated by the text data; a speech-unit selection unit 108 that selects, from the characteristic parameter DB 106, speech-unit data that represents the loan word attribute and the acoustic characteristics similar to the predicted loan word attribute and acoustic characteristics of each speech-unit; and a speech synthesis unit 110 that generates synthesized speech using a plurality of the selected speech-units and outputs the synthesized speech.

A computer implemented method in a language independent system generates audio-driven facial animation given the speech recognition system for just one language. The method is based on the recognition that once alignment is generated, the mapping and the animation hardly have any language dependency in them. Translingual visual speech synthesis can be achieved if the first step of alignment generation can be made speech independent. Given a speech recognition system for a base language, the method synthesizes video with speech of any novel language as the input.

A method for speech synthesis of a word in a first language, comprising dividing the word into a first sequence of pronunciation phonemes in the first language, mapping the first phoneme sequence to a second sequence of pronunciation phonemes in at least one second language, and generating an audio output of the phonemes in the second phoneme sequence using prosody models adapted for the at least one second language. According to this method, an audio output of a word in a first language can be generated by a speech synthesizing engine not having actual support for this language. Instead, the pronunciation phonemes of the word are mapped onto phonemes of at least one second language, for which the speech synthesizing engine does have support.

A method is provided for optimizing an objective measure used to estimate mean opinion score or naturalness of synthesized speech from a speech synthesizer. The method includes using an objective measure that has components derived directly from textual information used to form synthesized utterances. The objective measure has a high correlation with mean opinion score such that a relationship can be formed between the objective measure and corresponding mean opinion score. The objective measure is altered to provide a different function of textual information derived from the utterances so as to improve the relationship between the scores of the objective measure and subjective ratings of the synthesized utterances.

A speech synthesis system and method is described. A speech segment database references speech segments having various different speech representational structures. A speech segment selector selects from the speech segment database a sequence of speech segment candidates corresponding to a target text. A speech segment sequencer generates from the speech segment candidates sequenced speech segments corresponding to the target text. A speech segment synthesizer combines the selected sequenced speech segments to produce a synthesized speech signal output corresponding to the target text.

An audible menu system associated with distribution of television content over a service provider network is disclosed. The menu system includes a speech synthesizer and screen reader. Electronic programming guide (EPG) elements are read by a screen reader and provided to a speech synthesizer for presenting audible representations of EPG elements to a user. The user may provide inputs to a remote control device to navigate an EPG that may also be presented through a graphical user interface. As a user navigates a cursor over selectable EPG elements, disclosed embodiments provide audible outputs that correspond to the selectable EPG elements. In some embodiments, users may provide customized audio inputs that are played as audio outputs during future menu navigation sessions.

A voice synthesis system for interactive voice services comprises a voice server connected to a packet network dispensing a voice service to a user terminal by executing a service file associated with the voice service. An HTTP client in the voice server transmits a request containing a text to be synthesized during execution of the service file. The service file includes an address designating a resource in a voice synthesis server connected to the packet network and a command responsive to the audio format for commanding the transmitting of the request to the voice synthesis server. An HTTP server in the voice synthesis server transmits to the voice server an audio response including the text that has been synthesized by the voice synthesis server independently of the voice server.