paper-with-me

홈 › Papers

Longitudinal Acoustic Speech Tracking Following Pediatric Traumatic Brain Injury

2022-09-09 · Camille Noufi, Adam C. Lammert, Daryush D. Mehta, James R. Williamson, Gregory Ciccarelli, Douglas Sturim, Jordan R. Green, Thomas F. Quatieri, Thomas F. Campbell

Recommendations for common outcome measures following pediatric traumatic brain injury (TBI) support the integration of instrumental measurements alongside perceptual assessment in recovery and treatment plans. A comprehensive set of sensitive, robust and non-invasive measurements is therefore essential in assessing variations in speech characteristics over time following pediatric TBI. In this article, we study the changes in the acoustic speech patterns of a pediatric cohort of ten subjects diagnosed with severe TBI. We extract a diverse set of both well-known and novel acoustic features from child speech recorded throughout the year after the child produced intelligible words. These features are analyzed individually and by speech subsystem, within-subject and across the cohort. As a group, older children exhibit highly significant (p<0.01) increases in pitch variation and phoneme diversity, shortened pause length, and steadying articulation rate variability. Younger children exhibit similar steadied rate variability alongside an increase in formant-based articulation complexity. Correlation analysis of the feature set with age and comparisons to normative developmental data confirm that age at injury plays a significant role in framing the recovery trajectory. Nearly all speech features significantly change (p<0.05) for the cohort as a whole, confirming that acoustic measures supplementing perceptual assessment are needed to identify efficacious treatment targets for speech therapy following TBI.

📄 PDF Abstract BibTeX arXiv:2209.04406

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

The Amplitude Modulation Structure of Japanese Infant- and Child-Directed Speech: Longitudinal Data Reveal Universal Acoustic Physical Structures Underpinning Moraic Timing

2025-03-07 · Tatsuya Daikoku, Usha Goswami

Infant-directed speech (IDS) is highly rhythmic, and in European languages IDS is dominated by patterns of amplitude modulation (AM) at ~2Hz (reflecting prosody) and ~5Hz (reflecting individual syllables). The rhythm str…

Rhythm

Acoustic and Machine Learning Methods for Speech-Based Suicide Risk Assessment: A Systematic Review

2025-05-20 · Ambre Marie, Marine Garnier, Thomas Bertin, Laura Machart 외

Suicide remains a public health challenge, necessitating improved detection methods to facilitate timely intervention and treatment. This systematic review evaluates the role of Artificial Intelligence (AI) and Machine L…

Articles

Improving Real-time Score Following in Opera by Combining Music with Lyrics Tracking

2021-10-06 · NLP4MusA 2021 11 · Charles Brazier, Gerhard Widmer

Fully automatic opera tracking is challenging because of the acoustic complexity of the genre, combining musical and linguistic information (singing, speech) in complex ways. In this paper, we propose a new pipeline for …

Relating EEG recordings to speech using envelope tracking and the speech-FFR

2023-03-11 · Mike Thornton, Danilo Mandic, Tobias Reichenbach

During speech perception, a listener's electroencephalogram (EEG) reflects acoustic-level processing as well as higher-level cognitive factors such as speech comprehension and attention. However, decoding speech from EEG…

DecoderEEGEeg DecodingElectroencephalogram (EEG)

Neural Speech Tracking in a Virtual Acoustic Environment: Audio-Visual Benefit for Unscripted Continuous Speech

2025-01-14 · Mareike Daeglau, Juergen Otten, Giso Grimm, Bojana Mirkovic 외

The audio visual benefit in speech perception, where congruent visual input enhances auditory processing, is well documented across age groups, particularly in challenging listening conditions and among individuals with …

EEG