Abstract:
A speech analysis device which accurately analyzes an aperiodic component included in speech in a practical environment where there is background noise includes: a frequency band division unit which divides, into bandpass signals each associated with a corresponding one of frequency bands, an input signal representing a mixed sound of background noise and speech; a noise interval identification unit which identifies a noise interval and a speech interval of the input signal; an SNR calculation unit which calculates an SN ratio; a correlation function calculation unit which calculates an autocorrelation function of each bandpass signal; a correction amount determination unit which determines a correction amount for an aperiodic component ratio, based on the calculated SN ratio; and an aperiodic component ratio calculation unit which calculates, for each frequency band, an aperiodic component ratio of the aperiodic component, based on the determined correction amount and the calculated autocorrelation function.
Abstract:
A broadcast receiving system includes a broadcast receiving part for receiving a broadcast in which additional information that corresponds to an object appearing in broadcast contents and that contains keyword information for specifying the object is broadcasted simultaneously with the broadcast contents; a recognition vocabulary generating section for generating a recognition vocabulary set in a manner corresponding to the additional information by using a synonym dictionary; a speech recognition section for performing the speech recognition of a voice uttered by a viewing person, and for thereby specifying keyword information corresponding to a recognition vocabulary set when a word recognized as the speech recognition result is contained in the recognition vocabulary set; and a displaying section for displaying additional information corresponding to the specified keyword information.
Abstract:
A speech synthesizer that provides high-quality sound along with stable sound quality, including: a target parameter generation unit; a speech element DB; an element selection unit; a mixed parameter judgment unit which determines an optimum parameter combination of target parameters and speech elements; a parameter integration unit which integrates the parameters; and a waveform generation unit which generates synthetic speech. High-quality and stable synthetic speech is generated by combining, per parameter dimension, the parameters with stable sound quality generated by the target parameter generation unit with speech elements with high sound quality and a sense of true speech selected by the element selection unit.
Abstract:
A speech analyzer includes a vocal tract and sound source separating unit which separates a vocal tract feature and a sound source feature from an input speech, based on a speech generation model, a fundamental frequency stability calculating unit which calculates a temporal stability of a fundamental frequency of the input speech in the sound source feature, from the separated sound source feature, a stable analyzed period extracting unit which extracts time information of a stable period, based on the temporal stability, and a vocal tract feature interpolation unit which interpolates a vocal tract feature which is not included in the stable period, using a vocal tract feature included in the extracted stable period.
Abstract:
A speech separating apparatus includes: a PARCOR calculating unit that extracts vocal tract information from an input speech signal; a filter smoothing unit that smoothes, in a first time constant, the vocal tract information extracted by the PARCOR calculating unit; an inverse filtering unit that calculates a filter coefficient of a filter having a frequency amplitude response characteristic inverse to the vocal tract information smoothed by the filter smoothing unit, so as to filter the input speech signal using the filter having the calculated filter coefficient; and a voicing source modeling unit that cuts out, from the input speech signal filtered by the inverse filtering unit, a waveform included in a second time constant shorter than the first time constant, so as to calculate, for each waveform that is taken, voicing source information from the each waveform.
Abstract:
A device includes: an input speech separation unit which separates an input speech into vocal tract information and voicing source information; a mouth opening degree calculation unit which calculates a mouth opening degree from the vocal tract information; a target vowel database storage unit which stores pieces of vowel information on a target speaker; an agreement degree calculation unit which calculates a degree of agreement between the calculated mouth opening degree and a mouth opening degree included in the vowel information; a target vowel selection unit which selects the vowel information from among the pieces of vowel information, based on the calculated agreement degree; a vowel transformation unit which transforms the vocal tract information on the input speech, using vocal tract information included in the selected vowel information; and a synthesis unit which generates a synthetic speech using the transformed vocal tract information and the voicing source information.
Abstract:
This invention includes: a voice quality feature database (101) holding voice quality features; a speaker attribute database (106) holding, for each voice quality feature, an identifier enabling a user to expect a voice quality of the voice quality feature; a weight setting unit (103) setting a weight for each acoustic feature of a voice quality; a scaling unit (105) calculating display coordinates of each voice quality feature based on the acoustic features in the voice quality feature and the weights set by the weight setting unit (103); a display unit (107) displaying the identifier of each voice quality feature on the calculated display coordinates; a position input unit (108) receiving designated coordinates; and a voice quality mix unit (110) (i) calculating a distance between (1) the received designated coordinates and (2) the display coordinates of each of a part or all of the voice quality features, and (ii) mixing the acoustic features of the part or all of the voice quality features together based on a ratio between the calculated distances in order to generate a new voice quality feature.
Abstract:
A speech analyzer includes a vocal tract and sound source separating unit which separates a vocal tract feature and a sound source feature from an input speech, based on a speech generation model, a fundamental frequency stability calculating unit which calculates a temporal stability of a fundamental frequency of the input speech in the sound source feature, from the separated sound source feature, a stable analyzed period extracting unit which extracts time information of a stable period, based on the temporal stability, and a vocal tract feature interpolation unit which interpolates a vocal tract feature which is not included in the stable period, using a vocal tract feature included in the extracted stable period.
Abstract:
A speech synthesis apparatus which can appropriately transform a voice characteristic of a speech is provided. The speech synthesis apparatus includes an element storing unit in which speech elements are stored, a function storing unit in which transformation functions are stored, an adaptability judging unit which derives a degree of similarity by comparing a speech element stored in the element storing unit with an acoustic characteristic of the speech element used for generating a transformation function stored in the function storing unit, and a selecting unit and voice characteristic transforming unit which transforms, for each speech element stored in the element storing unit, based on the degree of similarity derived by the adaptability judging unit, a voice characteristic of the speech element by applying one of the transformation functions stored in the function storing unit.
Abstract:
An emotion recognition apparatus performs accurate and stable speech-based emotion recognition, irrespective of individual, regional, and language differences of prosodic information. The emotion recognition apparatus includes: a speech recognition unit which recognizes types of phonemes included in the input speech; a characteristic tone detection unit which detects a characteristic tone that relates to a specific emotion, in the input speech; a characteristic tone occurrence indicator computation unit which computes a characteristic tone occurrence indicator for each of the phonemes, based on the types of the phonemes recognized by the speech recognition unit, the characteristic tone occurrence indicator relating to an occurrence frequency of the characteristic tone; and an emotion judgment unit which judges an emotion of the speaker in a phoneme at which the characteristic tone occurs in the input speech, based on the characteristic tone occurrence indicator computed by the characteristic tone occurrence indicator computing unit.