This study investigated the acoustic features of vowel production in Mandarin-speaking patients with post-stroke dysarthria (PSD). The subjects included 31 native Mandarin-speaking patients with PSD (age: 25–83 years old) and 38 neurologically normal adults in a similar age range (age: 21–76 years old). Each subject was recorded producing a list of Mandarin monosyllables that included six monophthong vowels (i.e., /a, i, u, ɤ, y, o/) embedded in the /CV/ context. The patients’ speech samples were evaluated by two native Mandarin speakers. The evaluation scores were then used to classify all patients into two levels of severity: mild or moderate-to-severe. Formants (F1 and F2) were extracted from each vowel token. Results showed that all vowel categories in the patients with PSD were produced with more variability than in the healthy speakers. Great overlaps between vowel categories and reduced vowel space were observed in the patients. The magnitude of the vowel dispersion and overlap between vowel categories increased as a function of the severity of the disorder. The deviations of the vowel acoustic features in the patients in comparison to the healthy speakers may provide guidance for clinical rehabilitation to improve the speech intelligibility of patients with PSD.
This paper proposes the use of Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units for determining whether Mandarin-speaking individuals are afflicted with a form of Dysarthria based on samples of syllable pronunciations. Several LSTM network architectures are evaluated on this binary classification task, using accuracy and Receiver Operating Characteristic (ROC) curves as metrics. The LSTM models are shown to significantly improve upon a baseline fully connected network, reaching over 90% area under the ROC curve on the task of classifying new speakers, when a sufficient number of cepstrum coefficients are used. The results show that the LSTM's ability to leverage temporal information within its input makes for an effective step in the pursuit of accessible Dysarthria diagnoses.
Aims: The aim of this survey was to investigate the background of speech-language pathologists and their training needs to provide a profile of the current state of the profession in Mainland China. Methods: A survey was conducted of 293 speech-language therapists. The questionnaire used asked questions related to their career background and had a 24-item ranking scale covering almost all of the common speech-language-hearing disorders. A summary of the raw data was constructed by calculating the average ranking score for each answer choice in order to determine the academic training needs with the highest preference among the respondents. Results: The majority of respondents were female, <35 years old and with a total service time of <5 years. More than three quarters of the training needs with the highest preference among the 24 items involved basic-level knowledge of common speech-language-hearing disorders, such as diagnosis, assessment and conventional treatment, but seldom specific advanced technology or current progress. Conclusion: The results revealed that speech-language therapists in Mainland China tend to be young, with little total working experience and at the first stage of their career. This may be due to the lack of systematic educational programs and national certification systems for speech-language therapists.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.