Nippon Telegraph and Telephone Corporation

Yusuke Ijima

Ryo Masumura

Hosana Kamiyama

Satoshi Kobashikawa

Yushi Aono

Hiroki Kanagawa

An estimation device (), which is an estimation device that estimates a duration of a speech section, includes: a representation conversion unit () that performs representation conversion of a plurality of words included in learning utterance information to a plurality of pieces of numeric representation data; an estimation data generation unit () that generates estimation data by using a plurality of pieces of the learning utterance information and the plurality of pieces of numeric representation data; an estimation model learning unit () that learns an estimation model by using the estimation data and the durations of the plurality of words; and an estimation unit () that estimates the duration of a predetermined speech section based on utterance information of a user by using the estimation model.

Prediction device, prediction method, and program

The present invention provides a pronunciation error detection apparatus capable of following a text without the need for a correct sentence even when erroneous recognition such as a reading error occurs. The pronunciation error detection apparatus comprises: a speech recognition part that recognizes the speech in speech data based on a speech recognition model for a non-native speaker, and outputs speech recognition results, reliability and time information; a reliability determination part that outputs the speech recognition results with higher reliability than a predetermined threshold and the corresponding time information as the determined speech recognition results and the determined time information; and a pronunciation error detection part that outputs a phoneme as a pronunciation error when reliability for each phoneme in the speech recognition results using the native speaker speech recognition model under a weakly constraining grammar is greater than the reliability of the corresponding phoneme in the speech recognition results using the native speaker acoustic model under a constraining grammar in which the determined speech recognition results are correct for the speech data in a segment specified by the determined time information.

Pronunciation error detection apparatus, pronunciation error detection method and program

An acoustic model learning device is provided for obtaining an acoustic model used to synthesize voice signals with intonation. The device includes a first learning unit that learns the acoustic model to estimate synthetic acoustic feature values using voice and speaker determination models based on acoustic feature values of speakers, language feature values corresponding to the acoustic feature values and speaker data items, a second learning unit that learns the voice determination model to determine whether the synthetic acoustic feature value is a predetermined acoustic feature value or not based on the acoustic feature values and the synthetic acoustic feature values, and a third learning unit that learns the speaker determination model to determine whether the speaker of the synthetic acoustic feature value is a predetermined speaker or not based on the acoustic feature values and the synthetic acoustic feature values.

Growing community of inventors

Musashino, Japan

Yusuke Ijima