Panasonic Corporation

Matsushita Electric Industrial Co., Ltd.

Tetsu Suzuki

Shinichi Yoshizawa

Yoshihisa Nakatoh

Yoshio Ohno

Hideto Motomura

Takeo Kanamori

Takashi Kawamura

Makoto Nishizaki

Yoshiyuki Okimoto

The present invention provides a technique for sensing and reproducing various feels, which a person gets discretely over a period of time, by time sequential sensing. A tactile processor includes: a movement measuring section for determining a status of contact between a person and an object; a physical measuring section for measuring a physical property value of the object; and a physical-psychological transformation section for generating a tactile feature quantity based on the physical property value that has been measured by the physical measuring section and on the weight of the physical property of an arbitrary object. The weight is variable according a status of contact between the person and the arbitrary object and is calculated based on not only a physical property value representing the status of contact between the person and the arbitrary object but also a tactile feature quantity representing a feel that the person gets when touching the arbitrary object.

Tactile processing device

A target sound analysis apparatus capable of distinguishing between a sound having the same fundamental period as a target sound but which differs therefrom and the target sound and analyzing whether or not the target sound is contained in an evaluation sound is an target sound analysis apparatus that analyzes whether or not a target sound is included in an evaluation sound, and includes: a target sound preparation unit that prepares a target sound that is an analysis waveform to be used for analyzing a fundamental period; an evaluation sound preparation unit that prepares an evaluation sound that is an analyzed waveform in which its fundamental period will be analyzed; and an analysis unit that temporally shifts the target sound with respect to the evaluation sound to sequentially calculate differential values of the evaluation sound and the target sound at corresponding points in time, calculate an iterative interval between the points in time where the differential value is equal to or lower than a predetermined threshold value, and judge whether or not the target sound exists in the evaluation sound based on a period of the iterative interval and the fundamental period of the target sound.

Target sound analysis apparatus, target sound analysis method and target sound analysis program

A mixed audio separation system () which separates a specific audio from among a mixed audio (S) includes a local frequency information generation unit () which obtains pieces of local frequency information (S) corresponding to local reference waveforms (S), based on the local reference waveforms (S) and an analysis waveform which is the waveform of the mixed audio (S). Each of the local reference waveforms (S) (i) constitutes a part of a reference waveform for analyzing a predetermined frequency, (ii) has a predetermined temporal/spatial resolution and (iii) includes at least one of an amplification spectrum and a phase spectrum in the predetermined frequency. The system includes: a specific audio's frequency feature value extraction unit () which performs pattern matching between a first set which is the pieces of local frequency information and a second set of pieces of frequency information (S) of a predetermined specific audio, and extracts the first set of the pieces of local frequency information (S), based on a result of the pattern matching; and an audio signal generation unit which generates a signal of the specific audio, based on the first set of the pieces of local frequency information (S) extracted by the specific audio's frequency feature value extraction unit.

Mixed audio separation apparatus

A speech recognition device is provided which includes: a language model storage unit which stores a language model indicating appearance probabilities of words or word sequences; an acoustic feature amount extracting unit and a checking unit which extract a feature amount of an inputted speech signal, and identifies the word or word sequence corresponding to the speech signal by checking the extracted feature amount with the language model stored in the language model storage unit; an obtained word signal receiving/analyzing unit which obtains and analyzes the word; and a language model adjusting unit which identifies the appearance probability of the word based on the time elapsed after obtaining the word by the obtained word signal receiving/analyzing unit and which adjusts the language model by reflecting the identified appearance probability on the language model stored in the language model storage unit.

Speech recognition device and method of recognizing speech using a language model

An audio identifying device which can transmit with certainty audio information which is important for a user, according to an importance level of input audio information which varies depending on the action of the user includes: a checking unitwhich judges a type of inputted audio; a user action obtainment unitwhich detects an action of the user; an output mode determination unitwhich determines an output mode of an audio identification result regarding the input audio by checking, with output mode definition information stored in the output mode definition information storage unit, the result judged by the checking unitand the result detected by the user action obtainment unit; and the audio identification result output processing unitwhich outputs the audio identification result on which processing according to the output mode determined by the audio identification result has been performed by checking the judgment result determined by the output mode determination unitwith the output processing method definition information stored in an output processing method definition information storage unit

Audio identifying device, audio identifying method, and program

A harmonic structure acoustic signal detection device not depending on the level fluctuation of the input signal including: an FFT unit which performs FFT on an input signal and calculates a power spectrum component for each frame; a harmonic structure extraction unit which leaves only a harmonic structure from the power spectrum component; a voiced feature evaluation unit which evaluates correlation between the frames of harmonic structures extracted by the harmonic structure extraction unit, thereby evaluates whether or not the segment is a vowel segment, and extracts the voiced segment; and a speech segment determination unit which determines a speech segment according to the continuity and durability of the output of the voiced feature evaluation unit.

Harmonic structure based acoustic speech interval detection method and device

An audio restoration apparatus is provided which restores an audio to be restored having a missing audio part and being included in a mixed audio. The audio restoration apparatus includes: a mixed audio separation unit which extracts the audio to be restored included in the mixed audio; an audio structure analysis unit which generates at least one of a phoneme sequence, a character sequence and a musical note sequence of the missing audio part; an unchanged audio characteristic domain analysis unit which segments the extracted audio to be restored into time domains in each of which an audio characteristic remains unchanged; an audio characteristic extraction unit which identifies a time domain where the missing audio part is located, and extracts audio characteristics of the identified time domain in the audio to be restored; and an audio restoration unit which restores the missing audio part in the audio to be restored.

Audio restoration apparatus and audio restoration method

A sound identification apparatus which reduces the chance of a drop in the identification rate, including: a frame sound feature extraction unit which extracts a sound feature per frame of an inputted audio signal; a frame likelihood calculation unit which calculates a frame likelihood of the sound feature in each frame, for each of a plurality of sound models; a confidence measure judgment unit which judges a confidence measure based on the frame likelihood; a cumulative likelihood output unit time determination unit which determines a cumulative likelihood output unit time based on the confidence measure; a cumulative likelihood calculation unit which calculates a cumulative likelihood in which the frame likelihoods of the frames included in the cumulative likelihood output unit time are cumulated, for each sound model; a sound type candidate judgment unit which determines, for each cumulative likelihood output unit time, a sound type corresponding to the sound model that has a maximum cumulative likelihood; a sound type frequency calculation unit which calculates the frequency of the sound type candidate; and a sound type interval determination unit which determines the sound type of the inputted audio signal and the interval of the sound type, based on the frequency of the sound type.

Growing community of inventors

Osaka, Japan

Tetsu Suzuki