Nec Corporation

Ryoji Yoshida

Shuji Komeiji

Hiroki Matsuura

Takayuki Shirokaze

Hitoshi Yamamoto

A speech recognition apparatus () includes a first model () and a second model (). The first model () is learned by training data with an audio frame as input data, and with, as correct answer data, compressed character string data acquired by encoding character string data represented by the audio frame. The second model () is a learned decoder () acquired by learning an autoencoder () being constituted of an encoder () converting input character string data into compressed character string data, and the decoder () converting, into character string data, the compressed character string data output from the encoder. The speech recognition apparatus () inputs an audio frame to the first model (), inputs, to the second model (), compressed character string data output from the first model (), and thereby generates character string data corresponding to the audio frame.

Speech recognition apparatus, control method, and non-transitory storage medium

The example embodiments provides a processing system () including: an acquisition unit () that acquires target speech data in which a target speech is recorded or a target feature value that indicates a feature of the target speech; an inference unit () that infers a language of the target speech, based on an inference model for inferring a language of a speech from speech data or a speech feature value and the target speech data or the target feature value; a result output unit () that outputs an inference result by the inference unit (); a determination unit () that determines whether the inference result is correct; and a learning data output unit () that outputs the inference result determined to be correct by the determination unit () and the target speech data or the target feature value, as learning data for generating the inference model.

Processing system, processing method, and non-transitory storage medium

A system of the present invention includes a plurality of serversand. Each of the servers is configured to operate as a given function of a plurality of functions as which the server can operate. The system includes: a detection unitdetecting the operation status of the server, and a management unitdetermining change of a function as which the server operates depending on the operation status.

System that manages server function

A software management system provides a software management device which manages a plurality of software programs installed in a plurality of managed devices in connection with a plurality of software-updating module delivery devices. The software management device receives adaptive version data from the managed device and current version data from the software-updating module delivery device. When the current version of software, indicated by current version data, is later than the adaptive version of software, indicated by adaptive version data, the software management device downloads software-updating modules from the software-updating module delivery device, thus updating the adaptive version of software installed in the managed device by use of software-updating modules.

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Tokyo, Japan

Ryoji Yoshida