%Aigaion2 BibTeX export from Idiap Publications
%Thursday 21 November 2024 12:34:48 PM

@INPROCEEDINGS{Janbakhshi_ICASSP2019_2019,
         author = {Janbakhshi, Parvaneh and Kodrasi, Ina and Bourlard, Herv{\'{e}}},
       projects = {Idiap, MOSPEEDI},
          month = may,
          title = {PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT BASED ON THE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE},
      booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
           year = {2019},
          pages = {6405--6409},
       location = {Brighton, UK},
       abstract = {Impaired  speech  intelligibility  in  motor  speech  disorders  arising
due to neurological diseases negatively affects the communication
ability  and  quality  of  life  of  patients.   Reliable  and  cost-effective
measures to automatically assess speech intelligibility are necessary
for the management of such disorders.   In this paper,  we propose
to  automatically  assess  the  intelligibility  of  pathological  speech
based on short-time objective intelligibility measures typically used
in speech enhancement,  which however require a reference signal
that  is  time-aligned  to  the  test  signal.   We  propose  a  method  to
create an utterance-dependent reference signal of intelligible speech
from multiple healthy speakers. In order to assess intelligibility, the
pathological speech signal is aligned to the created reference signal
using  dynamic  time  warping  and  the  divergence  between  the  two
signals is quantified using either the short-time or the spectral correlation.  Experiments on databases of English and French patients
suffering  from  Cerebral  Palsy  and  Amyotrophic  Lateral  Sclerosis
show that the proposed intelligibility measures can obtain a high correlation with subjective intelligibility ratings, outperforming several
state-of-the-art pathological speech intelligibility measures.},
            pdf = {https://publications.idiap.ch/attachments/papers/2019/Janbakhshi_ICASSP2019_2019.pdf}
}