Background audio identification for speech disambiguation
AssigneeGoogle Inc.
InventorsJason Sanders, Gabriel Taubman, John J. Lee
Life of this patent
Estimating the term…
Abstract
Implementations relate to techniques for providing context-dependent search results. A computer-implemented method includes receiving an audio stream at a computing device during a time interval, the audio stream comprising user speech data and background audio, separating the audio stream into a first substream that includes the user speech data and a second substream that includes the background audio, identifying concepts related to the background audio, generating a set of terms related to the identified concepts, influencing a speech recognizer based on at least one of the terms related to the background audio, and obtaining a recognized version of the user speech data using the speech recognizer.
Claims18
A computer-implemented method executed on data processing hardware that causes the data processing hardware to perform operations comprising:
- receiving first audio data and second audio data captured by a microphone of a computing device;
- processing the first audio data to identify an entity associated with the first audio data;
- retrieving a set of terms related to the identified entity;
- processing, using a speech recognition model, the second audio data to determine one or more textual representations associated with the second audio data;
- and
- selecting, based on the retrieved set of terms related to the identified entity, a particular textual representation from among the one or more textual representations as a transcription of the second audio data.
A system comprising:
- data processing hardware;
- and
- memory hardware in communication with the data processing hardware and storing instructions, that when executed by the data processing hardware, cause the data processing hardware to perform operations comprising:
- receiving first audio data and second audio data captured by a microphone of a computing device;
- processing the first audio data to identify an entity associated with the first audio data;
- retrieving a set of terms related to the identified entity;
- processing, using a speech recognition model, the second audio data to determine one or more textual representations associated with the second audio data;
- and
- selecting, based on the retrieved set of terms related to the identified entity, a particular textual representation from among the one or more textual representations as a transcription of the second audio data.
Dependencies are inferred from the claim text.