Language models using spoken language modeling
US-2024386885-A1 · Nov 21, 2024 · US
User Programmable Voice Command Recognition Based On Sparse Features
US2015073795A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2015073795-A1 |
| Application number | US-201414458688-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 13, 2014 |
| Priority date | Sep 11, 2013 |
| Publication date | Mar 12, 2015 |
| Grant date | — |
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Abstract
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A low power sound recognition sensor is configured to receive an analog signal that may contain a signature sound. Sparse sound parameter information is extracted from the analog signal. The extracted sparse sound parameter information is processed using a speaker dependent sound signature database stored in the sound recognition sensor to identify sounds or speech contained in the analog signal. The sound signature database may include several user enrollments for a sound command each representing an entire word or multiword phrase. The extracted sparse sound parameter information may be compared to the multiple user enrolled signatures using cosine distance, Euclidean distance, correlation distance, etc., for example.
First claim
Opening claim text (preview).
What is claimed is: 1 . A method for training a speaker dependent sound recognition sensor, the method comprising: receiving an analog signal that contains a command sound spoken by a user of the sound recognition sensor; extracting sparse sound parameter information from the analog signal using an analog portion of the sound recognition sensor to form a user dependent sound vector representing an entire word or multiword phrase; and storing the speaker dependent sound vecto…
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- G10L15/063Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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- What does patent US2015073795A1 cover?
- A low power sound recognition sensor is configured to receive an analog signal that may contain a signature sound. Sparse sound parameter information is extracted from the analog signal. The extracted sparse sound parameter information is processed using a speaker dependent sound signature database stored in the sound recognition sensor to identify sounds or speech contained in the analog signa…
- Who is the assignee on this patent?
- Texas Instruments Inc
- What technology area does this patent fall under?
- Primary CPC classification G10L15/063. Mapped technology areas include Physics.
- When was this patent published?
- Publication date Thu Mar 12 2015 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
- What related patents are in patentsdb?
- We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).