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Be Clear, an intensive treatment for non-progressive dysarthria
Published in Margaret Walshe, Nick Miller, Clinical Cases in Dysarthria, 2021
Stacie Park, Deborah Theodoros, Emma Finch, Elizabeth Cardell
Acoustic analysis was included in the Be Clear assessment protocol to provide an objective means of quantifying changes to the speech signal. MP’s monologue and Grandfather Passage samples were used to examine changes in articulation rate (syllables/second), percent pause time, fundamental frequency and frequency range. To promote efficient batch processing of the speech samples, acoustic analysis was conducted using an automated PRAAT script (Vogel, Fletcher, & Maruff 2014). The bVd tokens produced by MP were used to investigate changes in VSA and vowel duration. This analysis was conducted manually using standard acoustic criteria.
Assessment
Published in Stephanie Martin, Working with Voice Disorders, 2020
With voice disorders there is commonly greater noise and less energy in the harmonics of the sound, hence the term ‘harmonics-to-noise ratio’. Distortion and variation in harmonics give clues to the degree of distortion occurring to vocal-fold vibration. Sophisticated computerised speech laboratories are available which can offer a number of options. These must be considered within the resources available and the needs of the department. Some computer programs such as Praat (Boersma, 2001) mentioned above are available for analysing, synthesising and manipulating speech and other sounds, and for creating publication-quality graphics. It is open source and available free of charge for all major computer platforms. It can be downloaded from www.praat.org.
Speech and Language Therapy for Voice Disorders
Published in John C Watkinson, Raymond W Clarke, Terry M Jones, Vinidh Paleri, Nicholas White, Tim Woolford, Head & Neck Surgery Plastic Surgery, 2018
Marianne E. Bos-Clark, Paul Carding
SLTs analyze voice samples from maintained vowels and connected speech with acoustic analysis packages, Laryngograph®, or with software such as PRAAT (the Dutch word for ‘talk’).21 Instrumental voice measures are used in assessment before and after intervention, and these can also be helpful in providing visual feedback during treatment. Voice applications that display pitch and loudness can be downloaded on mobile devices and can support patients of all ages to practise voice work between sessions.22, 23
The effect of a prolonged and demanding vocal activity (Divya Prabhandam recitation) on subjective and objective measures of voice among Indian Hindu priests
Published in Speech, Language and Hearing, 2022
S. Y. Aishwarya, S. V. Narasimhan
Responses from the questionnaire were analysed and the VFI scores were tabulated across both the conditions. Acoustic analysis of voice was carried out using Praat software. Time-based acoustic parameters, namely fundamental frequency, minimum fundamental frequency, maximum fundamental frequency, range of fundamental frequency, jitter (%), jitter (RAP), jitter (DDP), shimmer (%), shimmer (dB), shimmer (APQ 3), shimmer (APQ 5), shimmer (APQ 11), shimmer (DDA), and harmonic to noise ratio (HNR) were extracted (see Appendix for more details on the description of each parameter). The samples were displayed as a waveform using the software (Speech Tool) and CPP and CPPs values were obtained using the Hillenbrand algorithm, for all the phonation samples. The acoustic and cepstral parameters of voice were extracted from the phonations recorded in both conditions.
Determination of the acoustic properties of Turkish ling six sounds used in speech tests
Published in Speech, Language and Hearing, 2022
Çigdem Onen, Guven Mengu, Senay Altinyay, Yusuf Kemal Kemaloglu
The acoustic properties (intensity (in decibels), F0, and formants (f1, f2, and f3)) of the <a>, <u>, and speech sounds were calculated using the Praat software. The analyses were performed automatically by the script, which was then added to the Praat software (Boersma & Weenink, 2017; Kılıç, 2014; Remijsen, 2004). The following standard settings, which Kılıç (2012) suggested, were used: a low F0 of 50 Hz for root mean square (RMS) amplitude, a frequency range of 50–500 Hz for the pitch parameters, a maximum formant frequency of 5500 Hz and a window length of 0.025 for the formant parameters. The formants were measured using the Burg algorithm available in Praat software (Boersma & Weenink, 2017) for five formants, and a mean was selected to measure the mean values of segments.
Long term average speech spectra of Turkish
Published in Logopedics Phoniatrics Vocology, 2018
Praat v.5.4.08 software was used for acoustic analysis of speech samples. This software enables analysis using a ‘long-term average spectrum’ command among the spectral analysis options. We obtained 68 distinct evaluations from each voice recording. Analysis was performed within a band range of 62.5–8000 Hz; 125 Hz bandwidth (N = 65) and 50 ms of window length. Praat software automatically provides an evaluation of the half value of the first frequency (125 Hz because the bandwidth is 125 Hz); therefore, our measurements started from 62.5 Hz. A variety of bandwidths and ranges have been used by previous studies, and we had two main reasons for choosing 125 Hz for this study. The first was to indicate spectral display in detail and the second reason was to include frequencies widely used in audiological analysis. Analysis of 65 different frequencies enabled us to attain a level of detail that was equal or above that of many previously reported studies.