Model-based dubbing techniques are implemented to generate a translated version of a source video. Spoken audio portions of a source video may be extracted and semantic graphs generated that represent the spoken audio portions. The semantic graphs may be used to produce translations of the spoken portions. A machine learning model may be implemented to generate replacement audio for the spoken portions using the translation of the spoken portion. A machine learning model may be implemented to generate modifications to facial image data for a speaker of the replacement audio.

An intelligent voice recognition method and apparatus are disclosed. An intelligent voice recognition apparatus according to one embodiment of the present invention recognizes speech of the user and outputs a response determined on the basis of the speech, wherein, when a plurality of candidate responses related to the speech exist, the response is determined from among the plurality of candidate responses on the basis of device state information about the voice recognition apparatus, and thus ambiguity in a conversation between a user and the voice recognition apparatus can be reduced so that more natural conversation processing is possible. The intelligent voice recognition apparatus and/or an artificial intelligence (AI) apparatus of the present invention can be associated with an AI module, a drone (an unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

A method for speech synthesis includes obtaining text to be synthesized and an identifier of a speaker, the text being written in a first language; obtaining pronunciation information of each character in the text; generating linguistic features of the text by performing feature extraction on the pronunciation information of each character in the text based on the first language; and obtaining a target speech in a second language other than the first language, by performing speech synthesis based on the linguistic features and the identifier of the speaker.

Audio content captured by a plurality of microphones associated with a device, such as a hearing device, may be received. It may be determined that a first portion of the audio content is associated with a first microphone of the plurality of microphones. The first microphone may be a unidirectional microphone. Audio indicative of the first portion may be generated and sent to the device for output. It may be determined that a second portion of the audio content is associated with a second, different microphone of the plurality of microphones. The second microphone may be an omnidirectional microphone. Audio indicative of the second portion may be generated and sent to the device for output.

Among other things, a developer of an interaction application for an enterprise can create items of content to be provided to an assistant platform for use in responses to requests of end-users. The developer can deploy the interaction application using defined items of content and an available general interaction model including intents and sample utterances having slots. The developer can deploy the interaction application without requiring the developer to formulate any of the intents, sample utterances, or slots of the general interaction model.

Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of speech inputs is received from a first user. A voice model is obtained based on the plurality of speech inputs. A user input is received from the first user, the user input corresponding to a request to provide access to the voice model. The voice model is provided to a second electronic device.

[Problem] The problem of the present disclosure relates to proposing an information processing device, an information processing terminal, an information processing method, and a program, which are capable of controlling the output of a voice so as to be adaptive to an action purpose of a user. [Solution] An information processing device including: an inference unit that infers an action purpose of a user on the basis of a result of sensing by one or more sensors; and an output control unit that controls, on the basis of a result of inference by the inference unit, output of a voice to the user performed by an audio output unit.

A video is provided to viewers using a web-based platform without restricted audio, such as a copyrighted soundtrack. To do so, a video comprising at least two audio layers is received. The audio layers can include separate and distinct audio layers or a mix of audio from separate sources. A restricted audio element is identified in a first audio layer and a speech element is identified in a second audio layer. A stitched text string can be generated by performing speech-to-text on both audio layers and removing the text corresponding to the restricted audio element of the second audio layer. When playing back the video, a portion of the video is muted based on the restricted audio element. A voice synthesizer is employed to generate audible sound during the muted portion using the stitched text string.

Systems and processes for operating an intelligent automated assistant are provided. In one example, a plurality of speech inputs is received from a first user. A voice model is obtained based on the plurality of speech inputs. A user input is received from the first user, the user input corresponding to a request to provide access to the voice model. The voice model is provided to a second electronic device.

An appliance can include a microphone transducer, a processor, and a memory storing instructions. The appliance is configured to receive an audio signal at the microphone transducer and to detect an utterance in the audio signal. The appliance is further configured to classify a speech mode based on the utterance. The appliance is further configured to determine conditions of an environment of the appliance. The appliance is further configured to select at least one of a playback volume or a speech output mode from a plurality of speech output modes based on the classification, and the conditions of the environment of the appliance. The appliance is further configured to adapt the playback volume and/or mode of played-back speech according to the speech output mode. The appliance may be configured to synthesize speech according to the speech output mode, or to modify synthesized speech according to the speech output mode.