185 results about "Formant" patented technology

A procedure to automatically evaluate the spoken fluency of a speaker by prompting the speaker to talk on a given topic, recording the speaker's speech to get a recorded sample of speech, and then analyzing the patterns of disfluencies in the speech to compute a numerical score to quantify the spoken fluency skills of the speakers. The numerical fluency score accounts for various prosodic and lexical features, including formant-based filled-pause detection, closely-occurring exact and inexact repeat N-grams, normalized average distance between consecutive occurrences of N-grams. The lexical features and prosodic features are combined to classify the speaker with a C-class classification and develop a rating for the speaker.

Computer-implemented method for assessing an aging adult's ability to classify formant transition and segment duration information in making phonetic categorizations. A representative subset of multiple confusable pairs of phonemes is selected. A representative subset of multiple stimulus levels for the phonemes is selected for use with the phoneme subset. For each pair of phonemes of the phoneme subset, at each stimulus level of the stimulus level subset: icons for each phoneme are graphically presented, and a computer-generated phoneme from the pair is aurally presenting at the stimulus level. The adult is required to select one of the icons corresponding to the aurally presented phoneme, and the selection's correctness or incorrectness recorded as a response result. A success rate is determined based on the response results, the success rate comprising an estimate of the adult's success rate with respect to the multiple confusable pairs of phonemes at the multiple stimulus levels.

Method for improving speaker identification by determining usable speech. Degraded speech is preprocessed in a speaker identification (SID) process to produce SID usable and SID unusable segments. Features are extracted and analyzed so as to produce a matrix of optimum classifiers for the detection of SID usable and SID unusable speech segments. Optimum classifiers possess a minimum distance from a speaker model. A decision tree based upon fixed thresholds indicates the presence of a speech feature in a given speech segment. Following preprocessing, degraded speech is measured in one or more time, frequency, cepstral or SID usable / unusable domains. The results of the measurements are multiplied by a weighting factor whose value is proportional to the reliability of the corresponding time, frequency, or cepstral measurements performed. The measurements are fused as information, and usable speech segments are extracted for further processing. Such further processing of co-channel speech may include speaker identification where a segment-by-segment decision is made on each usable speech segment to determine whether they correspond to speaker #1 or speaker #2. Further processing of co-channel speech may also include constructing the complete utterance of speaker #1 or speaker #2. Speech features such as pitch and formants may be extended back into the unusable segments to form a complete utterance from each speaker.

A speech processing system modifies various aspects of input speech according to a user-selected one of various preprogrammed voice fonts. Initially, the speech converter receives a formants signal representing an input speech signal and a pitch signal representing the input signal's fundamental frequency. One or both of the following may also be received: a voicing signal comprising an indication of whether the input speech signal is voiced, unvoiced, or mixed, and / or a gain signal representing the input speech signal's energy. The speech converter also receives user selection of one of multiple preprogrammed voice fonts, each specifying a manner of modifying one or more of the received signals (i.e., formants, voicing, pitch, gain). The speech converter modifies at least one of the formants, voicing, pitch, and / or gain signals as specified by the selected voice font.

A method for processing speech data includes obtaining a pitch and at least one formant frequency for each of a plurality of first speech data; constructing a first feature space with the obtained fundamental frequencies and formant frequencies as features; and classifying the plurality pieces of first speech data using the first feature space, and thus a plurality of speech data classes and the corresponding description are obtained.

A method, medium, and system for masking voice information of a communication device. The method of masking a user's voice through an output of a masking signal similar to a formant of voice data may include dividing the voice data received into frames of a predetermined size, transforming the frames on a frequency axis thereof, regarded as a domain, obtaining formant information of intensive signal regions in the transformed frames, generating a sound signal disturbing the formant information with reference to the formant information, and outputting the sound signal in accordance with a time point when the voice signal is output.

A procedure to automatically evaluate the spoken fluency of a speaker by prompting the speaker to talk on a given topic, recording the speaker's speech to get a recorded sample of speech, and then analyzing the patterns of disfluencies in the speech to compute a numerical score to quantify the spoken fluency skills of the speakers. The numerical fluency score accounts for various prosodic and lexical features, including formant-based filled-pause detection, closely-occurring exact and inexact repeat N-grams, normalized average distance between consecutive occurrences of N-grams. The lexical features and prosodic features are combined to classify the speaker with a C-class classification and develop a rating for the speaker.

A resonator method and system for distinguishing characteristics of surface features or contaminants provides improved inspection or surface feature detection capability in scanning optical systems. A resonator including a surface of interest in the resonant path is coupled to a detector that detects light leaving the resonator. Changes in the resonance peak positions and peak intensities are evaluated against known changes for standard scatters in order to determine the material characteristics of an artifact at the surface of interest that causes a resonance change. The lateral size of the artifact is determined by de-convolving a known illumination spot size with the changing resonance characteristics, and the standard scatterer data is selected in conformity with the determined artifact size. The differential analysis using resonance peak shifts corresponding to phase and amplitude information provides an identification algorithm that identifies at least one artifact / material type is identified from matching known behaviors of artifacts / materials.

A method and detector for providing a noise resistant utterance detector is provided by extracting a noise estimate (15) to augment the signal-to-noise ratio of the speech signal, inverse filtering (17) of the speech signal to focus on the periodic excitation part of the signal and spectral reshaping (19) to accentuate separation between formants.