Ntt Docomo, Inc.

Kosuke Tsujino

Kei Kikuiri

Nobuhiko Naka

Minoru Etoh

Takeshi Yoshimura

Takafumi Yamazoe

A linear prediction coefficient of a signal represented in a frequency domain is obtained by performing linear prediction analysis in a frequency direction by using a covariance method or an autocorrelation method. After the filter strength of the obtained linear prediction coefficient is adjusted, filtering may be performed in the frequency direction on the signal by using the adjusted coefficient, whereby the temporal envelope of the signal is shaped. This reduces the occurrence of pre-echo and post-echo and improves the subjective quality of the decoded signal, without significantly increasing the bit rate in a bandwidth extension technique in the frequency domain represented by SBR.

Speech decoder with high-band generation and temporal envelope shaping

To appropriately execute a function based on a plurality of words, a function-execution instruction server of a function-execution instruction system includes: a function-execution instruction unit that issues an instruction of the execution of one or more tasks; a word input unit that inputs information containing a plurality of words that are arranged in order; and an executed-function determination unit that determines a task the execution of which is instructed on the basis of the order of words input.

Function execution instruction system, function execution instruction method, and function execution instruction program

When a frame immediately preceding an encoding target frame to be encoded by a first encoding unit operating under a linear predictive coding scheme is encoded by a second encoding unit operating under a coding scheme different from the linear predictive coding scheme, the encoding target frame can be encoded under the linear predictive coding scheme by initializing the internal state of the first encoding unit. Therefore, encoding processing performed under a plurality of coding schemes including the linear predictive coding scheme and a coding scheme different from the linear predictive coding scheme can be realized.

Audio signal encoding method, audio signal decoding method, encoding device, decoding device, audio signal processing system, audio signal encoding program, and audio signal decoding program

A linear prediction coefficient of a signal represented in a frequency domain is obtained by performing linear prediction analysis in a frequency direction by using a covariance method or an autocorrelation method. After the filter strength of the obtained linear prediction coefficient is adjusted, filtering may be performed in the frequency direction on the signal by using the adjusted coefficient, whereby the temporal envelope of the signal is transformed. This reduces the occurrence of pre-echo and post-echo and improves the subjective quality of the decoded signal, without significantly increasing the bit rate in a band extension technique in the frequency domain represented by SBR.

Speech decoding system with temporal envelop shaping and high-band generation

A character recognition device includes image input unit that receives an image, character region detection unit that detects a character region in the image, character region separation unit that separates the character region on a character-by-character basis, character recognition unit that performs character-by-character recognition on the characters present in separated regions and outputs one or more character recognition result candidates for each character, first character string transition data creation unit that receives the candidates, calculates weights for transitions to the candidates and creates first character string transition data based on a set of the candidates and the weights, and WFST processing unit that sequentially performs state transitions based on the first character string transition data, accumulates weights in each state transition and calculates a cumulative weight for each state transition, and outputs one or more state transition results based on the cumulative weight.

Character recognition device, character recognition method, character recognition system, and character recognition program

A linear prediction coefficient of a signal represented in a frequency domain is obtained by performing linear prediction analysis in a frequency direction by using a covariance method or an autocorrelation method. After the filter strength of the obtained linear prediction coefficient is adjusted, filtering may be performed in the frequency direction on the signal by using the adjusted coefficient, whereby the temporal envelope of the signal is shaped. This reduces the occurrence of pre-echo and post-echo and improves the subjective quality of the decoded signal, without significantly increasing the bit rate in a bandwidth extension technique in the frequency domain represented by spectral band replication.

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Yokohama, Japan

Kosuke Tsujino