Abstract:
Un procedimiento implementado por ordenador para filtrar mensajes que comprende:determinar (315) una primera ancla semántica (120) que representa un primer vector en un espacio vectorialsemántico correspondiente a un primer grupo de mensajes y una segunda ancla semántica (125) querepresenta un segundo vector en el espacio vectorial semántico correspondiente a un segundo grupo demensajes, en el que el primer vector y el segundo vector fueron derivados a partir de un cuerpo deentrenamiento que comprendía el primer grupo de mensajes y el segundo grupo de mensajes, y en el primergrupo de mensajes y el segundo grupo de mensajes son diferentes;determinar (325), en el espacio vectorial semántico, una representación matemática como un tercer vectorcorrespondiente a un mensaje entrante que tiene texto reconocido por máquina;comparar (330) la representación matemática correspondiente al mensaje entrante con la primera anclasemántica y la segunda ancla semántica para obtener un primer valor de comparación y un segundo valor decomparación; yfiltrar el mensaje entrante clasificando el mensaje entrante entre el primer y segundo grupos en base al primervalor de comparación y el segundo valor de comparación.
Abstract:
Systems and processes for disambiguating heteronyms in speech synthesis are provided. In one example process, a speech input containing a heteronym can be received from a user. The speech input can be processed using an automatic speech recognition system to determine a phonemic string corresponding to the heteronym as pronounced by the user in the speech input. A correct pronunciation of the heteronym can be determined based on at least one of the phonemic string or using an n-gram language model of the automatic speech recognition system. A dialogue response to the speech input can be generated where the dialogue response can include the heteronym. The dialogue response can be outputted as a speech output. The heteronym in the dialogue response can be pronounced in the speech output according to the correct pronunciation. ( ~(D Z1 _ _ __co_ _f c-z 0o col _n Q)0,c ) ro73 0 .) 0 0 Cf) 02 C)= -i;
Abstract:
A method and apparatus for filtering messages comprising determining a first semantic anchor corresponding to a first group of messages, for example, legitimate messages and a second semantic anchor corresponding to a second group of messages, for example, unsolicited messages. Determining a vector corresponding to an incoming message; comparing the vector corresponding to the incoming message with at least one of the first semantic anchor and the second semantic anchor to obtain a first comparison value and a second comparison value; and filtering the incoming message based on the first comparison value and the second comparison value.
Abstract:
Systems and processes for disambiguating heteronyms in speech synthesis are provided. In one example process, a speech input containing a heteronym can be received from a user. The speech input can be processed using an automatic speech recognition system to determine a phonemic string corresponding to the heteronym as pronounced by the user in the speech input. A correct pronunciation of the heteronym can be determined based on at least one of the phonemic string or using an n-gram language model of the automatic speech recognition system. A dialogue response to the speech input can be generated where the dialogue response can include the heteronym. The dialogue response can be outputted as a speech output. The heteronym in the dialogue response can be pronounced in the speech output according to the correct pronunciation. ( ~(D Z1 _ _ __co_ _f c-z 0o col _n Q)0,c ) ro73 0 .) 0 0 Cf) 02 C)= -i;
Abstract:
A method and apparatus for filtering messages comprising determining a first semantic anchor corresponding to a first group of messages, for example, legitimate messages and a second semantic anchor corresponding to a second group of messages, for example, unsolicited messages. Determining a vector corresponding to an incoming message; comparing the vector corresponding to the incoming message with at least one of the first semantic anchor and the second semantic anchor to obtain a first comparison value and a second comparison value; and filtering the incoming message based on the first comparison value and the second comparison value.
Abstract:
Algorithms for synthesizing speech used to identify media assets are provided. Speech may be selectively synthesized from text strings associated with media assets. A text string may be normalized and its native language determined for obtaining a target phoneme for providing human- sounding speech in a language (e.g., dialect or accent) that is familiar to a user. The algorithms may be implemented on a system including several dedicated render engines. The system may be part of a back end coupled to a front end including storage for media assets and associated synthesized speech, and a request processor for receiving and processing requests that result in providing the synthesized speech. The front end may communicate media assets and associated synthesized speech content over a network to host devices coupled to portable electronic devices on which the media assets and synthesized speech are played back.