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A comparative study of several parameterizations for speaker recognition ...
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Speaker verification in mismatch training and testing conditions ...
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Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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A New Amharic Speech Emotion Dataset and Classification Benchmark ...
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Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks ...
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Subspace-based Representation and Learning for Phonotactic Spoken Language Recognition ...
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LPC Augment: An LPC-Based ASR Data Augmentation Algorithm for Low and Zero-Resource Children's Dialects ...
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Automatic Dialect Density Estimation for African American English ...
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End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system ...
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Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systems ...
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SHAS: Approaching optimal Segmentation for End-to-End Speech Translation ...
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Automatic Detection of Speech Sound Disorder in Child Speech Using Posterior-based Speaker Representations ...
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Deep Neural Convolutive Matrix Factorization for Articulatory Representation Decomposition ...
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Telepractice treatment of rhotics (Peterson et al., 2022) ...
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Telepractice treatment of rhotics (Peterson et al., 2022) ...
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Abstract:
Purpose: Although mobile apps are used extensively by speech-language pathologists, evidence for app-based treatments remains limited in quantity and quality. This study investigated the efficacy of app-based visual–acoustic biofeedback relative to nonbiofeedback treatment using a single-case randomization design. Because of COVID-19, all intervention was delivered via telepractice. Method: Participants were four children aged 9–10 years with residual errors affecting American English /ɹ/. Using a randomization design, individual sessions were randomly assigned to feature practice with or without biofeedback, all delivered using the speech app Speech Therapist’s App for /r/ Treatment . Progress was assessed using blinded listener ratings of word probes administered at baseline, posttreatment, and immediately before and after each treatment session. Results: All participants showed a clinically significant response to the overall treatment package, with effect sizes ranging from moderate to very large. One ...
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Keyword:
100509 Video Communications; 170204 Linguistic Processes incl. Speech Production and Comprehension; FOS Electrical engineering, electronic engineering, information engineering; FOS Psychology
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URL: https://asha.figshare.com/articles/dataset/Telepractice_treatment_of_rhotics_Peterson_et_al_2022_/18461576/1 https://dx.doi.org/10.23641/asha.18461576.v1
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Towards a Perceptual Model for Estimating the Quality of Visual Speech ...
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Learning and controlling the source-filter representation of speech with a variational autoencoder ...
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Correcting Misproducted Speech using Spectrogram Inpainting ...
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Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals ...
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