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1
Voice treatment for speakers with dysarthria (Hsu et al., 2022) ...
Hsu, Sih-Chiao; Jiao, Yishan; Berisha, Visar. - : ASHA journals, 2022
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Voice treatment for speakers with dysarthria (Hsu et al., 2022) ...
Hsu, Sih-Chiao; Jiao, Yishan; Berisha, Visar. - : ASHA journals, 2022
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3
Automated semantic relevance as an indicator of cognitive decline: Out‐of‐sample validation on a large‐scale longitudinal dataset
In: Alzheimers Dement (Amst) (2022)
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4
Forced alignment of child speech (Mahr et al., 2021) ...
Mahr, Tristan J.; Berisha, Visar; Kawabata, Kan. - : ASHA journals, 2021
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5
Forced alignment of child speech (Mahr et al., 2021) ...
Mahr, Tristan J.; Berisha, Visar; Kawabata, Kan. - : ASHA journals, 2021
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6
Healthy Communication Partners Modify Their Speech When Conversing With Individuals With Parkinson's Disease
In: J Speech Lang Hear Res (2021)
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7
Altered speech patterns in subjects with post-traumatic headache due to mild traumatic brain injury
In: J Headache Pain (2021)
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8
Performance of Forced-Alignment Algorithms on Children's Speech
In: J Speech Lang Hear Res (2021)
Abstract: PURPOSE: Acoustic measurement of speech sounds requires first segmenting the speech signal into relevant units (words, phones, etc.). Manual segmentation is cumbersome and time consuming. Forced-alignment algorithms automate this process by aligning a transcript and a speech sample. We compared the phoneme-level alignment performance of five available forced-alignment algorithms on a corpus of child speech. Our goal was to document aligner performance for child speech researchers. METHOD: The child speech sample included 42 children between 3 and 6 years of age. The corpus was force-aligned using the Montreal Forced Aligner with and without speaker adaptive training, triphone alignment from the Kaldi speech recognition engine, the Prosodylab-Aligner, and the Penn Phonetics Lab Forced Aligner. The sample was also manually aligned to create gold-standard alignments. We evaluated alignment algorithms in terms of accuracy (whether the interval covers the midpoint of the manual alignment) and difference in phone-onset times between the automatic and manual intervals. RESULTS: The Montreal Forced Aligner with speaker adaptive training showed the highest accuracy and smallest timing differences. Vowels were consistently the most accurately aligned class of sounds across all the aligners, and alignment accuracy increased with age for fricative sounds across the aligners too. CONCLUSION: The best-performing aligner fell just short of human-level reliability for forced alignment. Researchers can use forced alignment with child speech for certain classes of sounds (vowels, fricatives for older children), especially as part of a semi-automated workflow where alignments are later inspected for gross errors. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.14167058
Keyword: Special Issue: Selected Papers From the 2020 Conference on Motor Speech—Basic Science and Clinical Innovation
URL: https://doi.org/10.1044/2020_JSLHR-20-00268
http://www.ncbi.nlm.nih.gov/pubmed/33705675
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740721/
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9
Conversational Coordination of Articulation Responds to Context: A Clinical Test Case With Traumatic Brain Injury
In: J Speech Lang Hear Res (2020)
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10
Repeatability of Commonly Used Speech and Language Features for Clinical Applications
In: Digit Biomark (2020)
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11
Speech compression in dysarthria (Utianski et al., 2019) ...
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12
Speech compression in dysarthria (Utianski et al., 2019) ...
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13
Syncing Up for a Good Conversation: A Clinically Meaningful Methodology for Capturing Conversational Entrainment in the Speech Domain
Borrie, Stephanie A.; Barrett, Tyson S.; Willi, Megan M.. - : American Speech-Language-Hearing Association, 2019
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14
Articulation constrained learning with application to speech emotion recognition
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15
A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders
In: IEEE J Sel Top Signal Process (2019)
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16
Sync Pending: Characterizing Conversational Entrainment in Dysarthria Using a Multidimensional, Clinically Informed Approach
In: J Speech Lang Hear Res (2019)
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17
Objective Intelligibility Assessment by Automated Segmental and Suprasegmental Listening Error Analysis
Jiao, Yishan; LaCross, Amy; Berisha, Visar. - : American Speech-Language-Hearing Association, 2019
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18
The Effects of Speech Compression Algorithms on the Intelligibility of Two Individuals With Dysarthric Speech
Utianski, Rene L.; Sandoval, Steven; Berisha, Visar. - : American Speech-Language-Hearing Association, 2019
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19
Syncing Up for a Good Conversation: A Clinically Meaningful Methodology for Capturing Conversational Entrainment in the Speech Domain
In: Communicative Disorders and Deaf Education Faculty Publications (2019)
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20
Speech compression in dysarthria (Utianski et al., 2018) ...
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