Patent classifications
G10L17/26
Speech recognition
A method includes receiving acoustic features of a first utterance spoken by a first user that speaks with typical speech and processing the acoustic features of the first utterance using a general speech recognizer to generate a first transcription of the first utterance. The operations also include analyzing the first transcription of the first utterance to identify one or more bias terms in the first transcription and biasing the alternative speech recognizer on the one or more bias terms identified in the first transcription. The operations also include receiving acoustic features of a second utterance spoken by a second user that speaks with atypical speech and processing, using the alternative speech recognizer biased on the one or more terms identified in the first transcription, the acoustic features of the second utterance to generate a second transcription of the second utterance.
LOCATING INDIVIDUALS USING MICROPHONE ARRAYS AND VOICE PATTERN MATCHING
Examples disclosed herein provide the ability to identify the location of an individual within a room by using a combination of microphone arrays and voice pattern matching. In one example, a computing device may extract a voice detected by microphones of a microphone array located in a room, perform voice pattern matching to identify an individual associated with the extracted voice, and determine a location of the individual in the room based on an intensity of the voice detected individually by the microphones of the microphone array.
LOCATING INDIVIDUALS USING MICROPHONE ARRAYS AND VOICE PATTERN MATCHING
Examples disclosed herein provide the ability to identify the location of an individual within a room by using a combination of microphone arrays and voice pattern matching. In one example, a computing device may extract a voice detected by microphones of a microphone array located in a room, perform voice pattern matching to identify an individual associated with the extracted voice, and determine a location of the individual in the room based on an intensity of the voice detected individually by the microphones of the microphone array.
Methods, systems, and media for providing information relating to detected events
Methods, systems, and media for providing information are provided. In some implementations, a method for providing information is provided, the method comprising: associating a first recording device of a group of recording devices located in an environment of a user with a trigger term; receiving, from a user device, a query that includes the trigger term; in response to receiving the query, determining that audio data is to be transmitted from at least one recording device from the group of recording devices in the environment of the user; identifying the first recording device based on the inclusion of the trigger term in the received query; receiving the audio data from the first recording device; identifying a characteristic of an animate object in the environment of the user based on the received audio data; and presenting information indicating the characteristic of the animate object on the user device.
Methods, systems, and media for providing information relating to detected events
Methods, systems, and media for providing information are provided. In some implementations, a method for providing information is provided, the method comprising: associating a first recording device of a group of recording devices located in an environment of a user with a trigger term; receiving, from a user device, a query that includes the trigger term; in response to receiving the query, determining that audio data is to be transmitted from at least one recording device from the group of recording devices in the environment of the user; identifying the first recording device based on the inclusion of the trigger term in the received query; receiving the audio data from the first recording device; identifying a characteristic of an animate object in the environment of the user based on the received audio data; and presenting information indicating the characteristic of the animate object on the user device.
Method and system for determining and improving behavioral index
The present invention provides methods and systems determining the behavioural index of a user. The present invention involves analyzing the user's behaviour and linguistic parameters using a smart wearable device. Basis the analysis, user's behavioural index is suitably determined, modified and informed to the user.
Method and system for determining and improving behavioral index
The present invention provides methods and systems determining the behavioural index of a user. The present invention involves analyzing the user's behaviour and linguistic parameters using a smart wearable device. Basis the analysis, user's behavioural index is suitably determined, modified and informed to the user.
Detection of replay attack
In order to detect a replay attack in a speaker recognition system, at least one feature is identified in a detected magnetic field. It is then determined whether the at least one identified feature of the detected magnetic field is indicative of playback of speech through a loudspeaker. If so, it is determined that a replay attack may have taken place.
Detection of replay attack
In order to detect a replay attack in a speaker recognition system, at least one feature is identified in a detected magnetic field. It is then determined whether the at least one identified feature of the detected magnetic field is indicative of playback of speech through a loudspeaker. If so, it is determined that a replay attack may have taken place.
Detection of liveness
Detecting a replay attack on a voice biometrics system comprises: receiving a speech signal from a voice source; generating and transmitting an ultrasound signal through a transducer of the device; detecting a reflection of the transmitted ultrasound signal; detecting Doppler shifts in the reflection of the generated ultrasound signal; and identifying whether the received speech signal is indicative of liveness of a speaker based on the detected Doppler shifts. The method further comprises: obtaining information about a position of the device; and adapting the generating and transmitting of the ultrasound signal based on the information about the position of the device.