Kabushiki Kaisha Toshiba

Takehiko Isaka

Takashi Sudo

Kimio Miseki

Chikashi Sugiura

Hiroshi Kanazawa

Takashi Obara

Hiroyuki Tsuboi

Hideki Tsutsui

Masataka Osada

Yoshifumi Nagata

Yusaku Kikugawa

Sachie Yokoyama

Rumiko Hashiba

Toshihiro Fujibayashi

According to one embodiment, a data processing system includes a touchscreen display, a recorder, and a processor. The recorder is configured to record a plurality of stroke data indicating loci handwritten on the touchscreen display and times respectively. The processor is configured to execute data processing using a first time indicated by first stroke data associated with first data and a second time indicated by second stroke data associated with second data.

Data processing system, data processing method, and storage medium

According to one embodiment, a characteristic correcting device includes: a correction filter configured to correct sound quality characteristics of a plurality of bands in a frequency range of an input signal based on a frequency characteristic which is set in advance to generate an output signal; an input module configured to input a surrounding sound signal of sound around an output device outputting the output signal; and an adjusting module configured to reduce the number of the bands of which the sound quality characteristics are to be corrected of the bands in the frequency range of the input signal in accordance with an increase in amplitude of the surrounding sound signal which is input.

Characteristic correcting device and characteristic correcting method

According to one embodiment, a signal processor includes: a plurality of loudspeakers configured to reproduce sound of a plurality of channels; a plurality of microphones configured to pick up sound of a plurality of channels; a detector configured to detect a user who is present in a direction of a space from which the microphones pick up the sound, and output directional characteristic information indicating a relative direction of the user to the loudspeakers; and a signal processor configured to switch contents of processing to reduce a disturbance signal included in a picked-up sound signal of the sound picked up by the microphones from the picked-up sound signal based on the relative direction indicated by the directional characteristic information.

Signal processor and signal processing method

According to an aspect of the invention, there is provided a noise suppressing apparatus comprising: a fifth unit configured to calculate a gain for noise suppression, based on the first signal-to-noise ratio for each frequency band and the second signal-to-noise ratio for an entire frequency band; an eighth unit configured to calculate an upper limit value of a noise suppression amount for each frequency band, based on the second signal-to-noise ratio; a ninth unit configured to calculate the noise suppression amount for each frequency band, based on the first signal-to-noise ratio; and a tenth unit configured to limit, based on the upper limit value, the noise suppression amount so as to calculate the gain.

Noise suppressing apparatus

A received power calculating section and a sending power calculating section calculate a received power value Rcv_Power(t) and a sending power value Snd_Power(t) by respectively adding predetermined gain values when the received power calculating section and the sending power calculating section calculate the received power value Rcv_power(t) and the sending power value Snd_Power(t). A received detection value control section and a sending detection value control section control the calculated receiving detection value and the sending detection value and set the received detection value and the sending detection value so as not to become less than a predetermined lower limit value, respectively.

Echo suppressor

A content reproducing apparatus includes a display unit configured to display a play list and candidate contents able to be added to the play list, a selection unit configured to select, from the candidate contents, an undesired content which a user does not want to add to the play list, a calculation unit configured to calculate a first retrieval statistical quantity based on first characteristic quantity of the undesired content or a second retrieval statistical quantity based on second characteristic quantity of a desired content which the user wants to add to the play list, and a retrieve unit configured to retrieve the candidate contents to prepare the play list, in accordance with similarity which has been calculated by using the first or second retrieval statistical quantity and which shows to which a given content having third characteristic quantity is similar, the desired content or the undesired content.

Content-reproducing apparatus

There is disclosed an audio coding apparatus which has a wideband encoder and noise canceller. The encoder includes a high-frequency audio coder and low-frequency audio coder. The low-frequency audio coder includes a low-frequency noise canceller. When the high-frequency audio coder is disabled, the noise canceller is disabled, and allows a digital audio signal to pass through it and outputs that signal to the encoder. When the high-frequency audio coder is enabled, the low-frequency noise canceller is disabled, and allows a digital audio signal to pass through it.

Method and apparatus for audio coding with noise suppression

In sound recognition apparatus of the present invention, user's utterance or a sound provided by an output section using previously stored sound waveforms is simultaneously inputted through a basic microphone of known frequency characteristics and an input microphone of unknown frequency characteristics. An analysis section respectively analyzes the frequency of the input speech through the basic microphone and the input microphone. A frequency characteristics calculation section calculates first difference data between the frequencies of the input speech of the basic microphone and the input microphone, and calculates frequency characteristics of the input microphone according to the first difference data and the frequency characteristics of the basic microphone. A frequency characteristics correction section calculates second difference data between the frequency characteristics of the input microphone and known frequency characteristics of a dictionary data microphone, and corrects input speech to be recognized through the input microphone as speech data of the frequency characteristics of the dictionary data microphone according to the second difference data. A recognition section recognizes corrected speech data by referring to a recognition dictionary storing data previously created through the dictionary data microphone.

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Hachioji, Japan

Takehiko Isaka