Salience analysis for glottal cycle detection in disordered speech
نویسندگان
چکیده
The presentation concerns the evaluation of a temporal method for tracking cycle lengths in voiced speech. The speech cycles are detected via the saliences of the speech signal samples. The method does not request that the signal is locally periodic and the average period length known a priori. The cycle length extraction is applied to the analysis of dysphonic speakers affected by amyotrophic lateral sclerosis (ALS). Results suggest that salience analysis is able to track reliably glottal cycles in the speech signal. SLA speakers are characterized by higher vocal tremor depths and tremor frequencies than normophonic speakers.
منابع مشابه
Speech sample salience analysis for speech cycle detection
The presentation proposes a method for the measurement of cycle lengths in voiced speech. The background is the study of acoustic cues of slow (vocal tremor) and fast (vocal jitter) perturbations of the vocal frequency. Here, these acoustic cues are obtained by means of a temporal method that detects speech cycles via the so-called salience of the speech signal samples. The method does not requ...
متن کاملAdvances in Glottal Analysis and its Applications
From artificial voices in GPS to automatic systems of dictation, from voice-based identity verification to voice pathology detection, speech processing applications are nowadays omnipresent in our daily life. By offering solutions to companies seeking for efficiency enhancement with simultaneous cost saving, the market of speech technology is forecast to be particularly promising in the next ye...
متن کاملAssessment of disordered voices based on an optimized glottal source model
In this paper, a method for the assessment of disordered voices is proposed. A feature named mean opening quotient (MOQ) obtained from the glottal source estimation is used as an acoustic cue to summarize the degree of severity of the voice disorder. The analysis method uses the empirical mode decomposition algorithm to estimate the glottal source excitation signal from the speech signal. The l...
متن کاملVocal tremor analysis via AM-FM decomposition of empirical modes of the glottal cycle length time series
The presentation concerns a method that obtains the size and frequency of vocal tremor in speech sounds sustained by normal speakers and patients suffering from neurological disorders. The glottal cycle lengths are tracked in the temporal domain via salience analysis and dynamic programming. The cycle length time series is then decomposed into a sum of oscillating components by empirical mode d...
متن کاملObjective Severity Assessment from Disordered Voice Using Estimated Glottal Airflow
In clinical practice, the severity of disordered voice is typically rated by a professional with auditory-perceptual judgment. The present study aims to automate this assessment procedure, in an attempt to make the assessment objective and less laborintensive. In the automated analysis, glottal airflow is estimated from the analyzed voice signal with an inverse filtering algorithm. Automatic as...
متن کامل