Publications and Presentations
from the SpeechMark Team
A Platform for Automated Acoustic Analysis for Assistive Technology
Suzanne Boyce; Harriet Fell; Joel MacAuslan; Lorin Wilde
The use of speech production data has been limited by a steep learning curve and the need for laborious hand measurement. We are building a tool set that provides summary statistics for measures designed by clinicians to screen, diagnose or provide training to assistive technology users. This will be achieved by extending an existing shareware software platform with “plug-ins” that perform specific measures and report results to the user. The common underlying basis for this tool set is a Stevens’ paradigm of landmarks, points in an utterance around which information about articulatory events can be extracted.
Automated Tools for Identifying Syllabic Landmark Clusters that Reflect Changes in Articulation
Suzanne Boyce; Harriet Fell; Lorin Wilde; Joel MacAuslan
We have developed a set of software tools to detect articulatory changes in the production of syllabic units based on acoustic landmark detection and classification. Results from the application of this automatic analysis system to studies of Parkinson’s Disease and Sleep Deprivation show the ability to detect subtle change. We are making these tools available as add-ons to systems such as Wavesurfer and R.
SpeechMark: Landmark Detection Tool for Speech Analysis
Suzanne Boyce; Harriet Fell; Joel MacAuslan
Landmark-based software tools are particularly suited to fast, automatic analysis of small, non-lexical differences in production of the same speech material by the same speaker. We are building a suite of independent applications and plugins as toolkits that make our landmark-based software system, SpeechMark, available to the wider scientific community. This will be achieved by extending existing software platforms with “plug-ins” that perform specific measures and report results to the user and by developing a MATLAB toolkit. These tools provide automatic summary statistics for measures of speech acoustics based on Stevens’ paradigm of landmarks, points in an utterance around which information about articulatory events can be extracted.
SpeechMark Acoustic Landmark Tool: Application to Voice Pathology
Suzanne Boyce; Marisha Speights; Keiko Ishikawa; Joel MacAuslan
One area of voice research that has historically been understudied is the interaction between voice pathology and acoustic aspects of the speech signal that affect intelligibility. Landmark-based software tools are particularly suited to fast, automatic analysis of small, non-lexical differences in the acoustic signal reflecting the production of speech. We are building a tool set that provides fast, automatic summary statistics for measures of speech acoustics based on Stevens’ paradigm of landmarks, points in an utterance around which information about articulatory events can be extracted. This paper explores the use of landmark analysis for evaluation of intelligibility-based measures of vocal pathology. Index Terms: speech analysis, landmarks, voice pathology.
Improving the Accuracy of Automatic Detection of Emotions From Speech
Poster from the SpeechMark exhibit at the Acoustical Society of America Meeting, April 2014
Posters on Applications of Landmarks
Using Landmark Detection to Measure Effective Clear Speech, ICA 2013
Objective Data on Clear Speech: Does it Help in Training Audiology Students?, AAA 2011
A Platform for Automated Acoustic Analysis for Assistive Technology, SLPAT 2010
Landmark-based Analysis of Sleep-deprived Speech, Acoustics 2008
Spontaneous Vocalization Change in Infants with Severe Impairments Using visiBabble, ASHA 2008