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US 2026/0253600 A1Published application
System
AssigneeSoftBank Group Corp.
InventorYuka KOBAYASHI
Life of this patent
Estimating the term…
Abstract
The system according to the embodiment comprises a reception unit, a recognition unit, and a notification unit. The reception unit receives emergency broadcasts. The recognition unit recognizes audio received by the reception unit in real time and converts it into text. The notification unit notifies the text converted by the recognition unit.
Claims20
A system comprising:
- circuitry configured to:
- receive, via a packet-switched network from a client terminal, an audio signal captured by a transducer of the client terminal;
- segment the audio signal into sequential frames and extract, from each frame, a feature vector to produce a feature vector sequence;
- input the feature vector sequence into a speech recognition model having an encoder-decoder architecture, the encoder mapping the feature vector sequence to a latent representation and the decoder generating a text sequence using an alignment mechanism;
- compute a confidence score for the generated text sequence;
- in response to the confidence score exceeding a threshold, generate notification data comprising the text sequence;
- and
- transmit the notification data to the client terminal via the packet-switched network, the notification data causing the client terminal to present the text sequence to a user.
5 more elements
A system comprising:
- a communication interface configured to communicate with a client terminal via a packet-switched network;
- a memory storing a speech recognition model having an encoder-decoder architecture and an emotion identification model;
- a database;
- and
- circuitry configured to:
- receive, from the client terminal via the communication interface, an audio signal captured by a microphone of the client terminal;
- apply noise reduction to the audio signal;
- segment the noise-reduced audio signal into sequential frames and extract, from each frame, a mel-frequency cepstral coefficient vector to produce a feature vector sequence;
- input the feature vector sequence into the speech recognition model, the encoder mapping the feature vector sequence to a latent representation and the decoder generating a text sequence using at least one of a connectionist temporal classification mechanism or an attention mechanism;
- compute a confidence score for the generated text sequence;
- estimate an emotion of a user by applying the emotion identification model to sensor data received from the client terminal;
- in response to the confidence score exceeding a threshold, generate notification data comprising the text sequence, the notification data having a display format adjusted based on the estimated emotion;
- and
- transmit the notification data to the client terminal via the communication interface and the packet-switched network, the notification data causing the client terminal to present the text sequence on a display and to generate a vibration.
11 more elements
A method performed by a system comprising circuitry, the method comprising:
- receiving, via a packet-switched network from a client terminal, an audio signal captured by a transducer of the client terminal;
- segmenting the audio signal into sequential frames and extracting, from each frame, a feature vector to produce a feature vector sequence;
- inputting the feature vector sequence into a speech recognition model having an encoder-decoder architecture, the encoder mapping the feature vector sequence to a latent representation and the decoder generating a text sequence using an alignment mechanism;
- computing a confidence score for the generated text sequence;
- in response to the confidence score exceeding a threshold, generating notification data comprising the text sequence;
- and
- transmitting the notification data to the client terminal via the packet-switched network, the notification data causing the client terminal to present the text sequence to a user.
4 more elements
Dependencies are inferred from the claim text.