To allow for detecting hotwords on multiple devices.SOLUTION: A method, system and apparatus including a computer program encoded on a computer storage medium, for hotword detection on multiple devices are disclosed. In one aspect, a method includes receiving, by a first computing device, audio data corresponding to an utterance. The method also includes determining a first value corresponding to a likelihood that the utterance includes a hotword. The method further includes receiving a second value corresponding to a likelihood that the utterance includes the hotword, the second value being determined by a second computing device. The method further includes comparing the first value and the second value. The method further includes initiating speech recognition processing on the audio data based on the comparison between the first value and the second value.SELECTED DRAWING: Figure 1

Hotword detection on multiple devices

An expected dialog-turn (ED) value is estimated for evaluating a speech application. Parameters such as a confidence threshold setting can be adjusted based on the expected dialog-turn value. In a particular example, recognition results and corresponding confidence scores are used to estimate the expected dialog-turn value. The recognition results can be associated with a possible outcome for the speech application and a cost for the possible outcome can be used to estimate the expected dialog-turn value.

Confidence threshold tuning

A method and a system for identifying users in a multi-user environment are disclosed. The method includes receiving audio data corresponding to an utterance of a voice command captured by a user device, the user device having a plurality of different users; for each of a plurality of different users of the user device, obtaining corresponding speaker verification data; generating a correspondingspeaker verification score using the corresponding speaker verification data and the audio data, the corresponding speaker verification score indicating the possibility that the utterance of the voicecommand is spoken by a corresponding one of the plurality of different users of the user device; identifying the speaker of the utterance of the voice command as a user of the plurality of differentusers of the user device associated with the highest corresponding speaker verification score; and using a voice recognition module to process the voice command to identify a particular action for theuser device to perform, when the particular action is executed by the user device, initiating an application on the user device to access the application based on the user permission associated withthe identified speaker.

Speaker verification using co-location information

A method at a first electronic device of multiple electronic devices, each electronic device of the plurality of electronic devices including one or more microphones and a speaker, includes detecting a voice input; determining a quality score for the detected voice input; communicating the quality score to the other devices of the plurality of electronic devices; receiving quality scores generated by the other devices for detection of the voice input by the other devices; if the quality score generated by the first electronic device is the highest amongst the quality scores, outputting an audible and/or visual response to the detected voice input, where the other devices of the plurality of electronic devices forgo outputting an audible response to the detected voice input; and if the quality score generated by the first electronic device is not the highest amongst the quality scores, forgoing outputting a response to the detected voice input.

Device leadership negotiation among voice interface devices

A voice controlled assistant has a housing to hold one or more microphones, one or more speakers, and various computing components. The housing has an elongated cylindrical body extending along a center axis between a base end and a top end. The microphone(s) are mounted in the top end and the speaker(s) are mounted proximal to the base end. The microphone(s) and speaker(s) are coaxially aligned along the center axis. The speaker(s) are oriented to output sound directionally toward the base end and opposite to the microphone(s) in the top end. The sound may then be redirected in a radial outward direction from the center axis at the base end so that the sound is output symmetric to, and equidistance from, the microphone(s).

Voice controlled assistant with coaxial speaker and microphone arrangement

To control an arbitrary system by speech recognition, it is proposed that speech recognition be implemented in the form of a predefined sequence of states, such that, upon recognition of an appropriate voice command, the system changes from one state to another state, and this change takes place in dependence on at least one speech recognition parameter. The speech recognition parameters can influence, for example, the so-called “false acceptance rate” (FAR) and/or the “false rejection rate” (FRR), which thus are set to state-specific values for the individual states, in order to achieve improved recognition accuracy.

Speech recognition apparatus and method

Zur Steuerung eines beliebigen Systems mittels Spracherkennung
wird vorgeschlagen, die Spracherkennung in Form einer
vordefinierten Zustandsfolge (100-104) durchzufuhren, wobei
bei Erkennen eines entsprechenden Sprachbefehls von einem Zustand
in einen anderen Zustand gewechselt wird und der Wechsel
in Abhangigkeit von mindestens einem Spracherkennungsparameter
erfolgt. Die Spracherkennungsparameter konnen beispielsweise
die sogenannte 'False Acceptance Rate" (FAR)
und/oder 'False Rejection Rate' (FRR) beeinflussen, die somit
fur die einzelnen Zustande (100-104) auf zustandsindividuelle
Werte eingestellt werden, um eine verbesserte Erkennungsgenauigkeit
zu erzielen.

Spracherkennungsverfahren und Spracherkennungsvorrichtung

Zur Steuerung eines beliebigen Systems mittels Spracherkennung wird vorgeschlagen, die Spracherkennung in Form einer vordefinierten Zustandsfolge (100-104) durchzufuhren, wobei bei Erkennen eines entsprechenden Sprachbefehls von einem Zustand in einen anderen Zustand gewechselt wird und der Wechsel in Abhangigkeit von mindestens einem Spracherkennungsparameter erfolgt. Die Spracherkennungsparameter konnen beispielsweise die sogenannte 'False Acceptance Rate" (FAR) und/oder 'False Rejection Rate' (FRR) beeinflussen, die somit fur die einzelnen Zustande (100-104) auf zustandsindividuelle Werte eingestellt werden, um eine verbesserte Erkennungsgenauigkeit zu erzielen.

Tobias Schneider

Papers

Speech recognition apparatus and method

Spracherkennungsverfahren und Spracherkennungsvorrichtung

Process and apparatus for speech recognition