Search Results - "Siriwardena, Yashish M"

The Secret Source : Incorporating Source Features to Improve Acoustic-To-Articulatory Speech Inversion by Siriwardena, Yashish M., Espy-Wilson, Carol

“…In this work, we incorporated acoustically derived source features, aperiodicity, periodicity and pitch as additional targets to an acoustic-to-articulatory…”
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Speaker-independent speech inversion for recovery of velopharyngeal port constriction degreea by Siriwardena, Yashish M., Boyce, Suzanne E., Tiede, Mark K., Oren, Liran, Fletcher, Brittany, Stern, Michael, Espy-Wilson, Carol Y.

“…For most of his illustrious career, Ken Stevens focused on examining and documenting the rich detail about vocal tract changes available to listeners…”
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Audio Data Augmentation for Acoustic-to-Articulatory Speech Inversion by Siriwardena, Yashish M., Attia, Ahmed Adel, Sivaraman, Ganesh, Espy-Wilson, Carol

“…Data augmentation has proven to be a promising prospect in improving the performance of deep learning models by adding variability to training data. In…”
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Emotion recognition with speech articulatory coordination features by Siriwardena, Yashish M., Seneviratne, Nadee, Espy-Wilson, Carol

“…Mental health illnesses like Major Depressive Disorder and Schizophrenia affect the coordination between articulatory gestures in speech production…”
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Speaker-independent speech inversion for recovery of velopharyngeal port constriction degree by Siriwardena, Yashish M., Boyce, Suzanne E., Tiede, Mark K., Oren, Liran, Fletcher, Brittany, Stern, Michael, Espy-Wilson, Carol Y.

“…For most of his illustrious career, Ken Stevens focused on examining and documenting the rich detail about vocal tract changes available to listeners…”
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The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction by Siriwardena, Yashish M., Marion, Guilhem, Shamma, Shihab

“…Experiments to understand the sensorimotor neural interactions in the human cortical speech system support the existence of a bidirectional flow of…”
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Towards Extending Acoustic-to-Articulatory Speech Inversion and Learning Articulatory Representations by Siriwardena, Yashish M

“…Acoustic-to-articulatory speech inversion involves the challenging task of deducing the kinematic state of various constriction synergies, including the lips,…”
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Improving Speech Inversion Through Self-Supervised Embeddings and Enhanced Tract Variables by Attia, Ahmed Adel, Siriwardena, Yashish M., Espy-Wilson, Carol

“…The performance of deep learning models depends significantly on their capacity to encode input features efficiently and decode them into meaningful outputs…”
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The Secret Source : Incorporating Source Features to Improve Acoustic-to-Articulatory Speech Inversion by Siriwardena, Yashish M, Espy-Wilson, Carol

“…In this work, we incorporated acoustically derived source features, aperiodicity, periodicity and pitch as additional targets to an acoustic-to-articulatory…”
Get full text

The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction by Siriwardena, Yashish M, Marion, Guilhem, Shamma, Shihab

“…ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Experiments to understand the sensorimotor neural…”
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A multi-modal approach for identifying schizophrenia using cross-modal attention by Premananth, Gowtham, Siriwardena, Yashish M, Resnik, Philip, Espy-Wilson, Carol

“…This study focuses on how different modalities of human communication can be used to distinguish between healthy controls and subjects with schizophrenia who…”
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Improving Speech Inversion Through Self-Supervised Embeddings and Enhanced Tract Variables by Attia, Ahmed Adel, Siriwardena, Yashish M, Espy-Wilson, Carol

“…The performance of deep learning models depends significantly on their capacity to encode input features efficiently and decode them into meaningful outputs…”
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Learning to Compute the Articulatory Representations of Speech with the MIRRORNET by Siriwardena, Yashish M, Espy-Wilson, Carol, Shamma, Shihab

“…Interspeech 2023 Most organisms including humans function by coordinating and integrating sensory signals with motor actions to survive and accomplish desired…”
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A Multimodal Framework for the Assessment of the Schizophrenia Spectrum by Premananth, Gowtham, Siriwardena, Yashish M, Resnik, Philip, Bansal, Sonia, Kelly, Deanna L, Espy-Wilson, Carol

“…This paper presents a novel multimodal framework to distinguish between different symptom classes of subjects in the schizophrenia spectrum and healthy…”
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Accent Conversion with Articulatory Representations by Siriwardena, Yashish M, Swedlow, Nathan, Howard, Audrey, Gitterman, Evan, Darcy, Dan, Espy-Wilson, Carol, Fanelli, Andrea

“…Conversion of non-native accented speech to native (American) English has a wide range of applications such as improving intelligibility of non-native speech…”
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Acoustic-to-articulatory Speech Inversion with Multi-task Learning by Siriwardena, Yashish M, Sivaraman, Ganesh, Espy-Wilson, Carol

“…Proc. Interspeech 2022 Multi-task learning (MTL) frameworks have proven to be effective in diverse speech related tasks like automatic speech recognition (ASR)…”
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Speaker-independent Speech Inversion for Estimation of Nasalance by Siriwardena, Yashish M, Espy-Wilson, Carol, Boyce, Suzanne, Tiede, Mark K, Oren, Liran

“…The velopharyngeal (VP) valve regulates the opening between the nasal and oral cavities. This valve opens and closes through a coordinated motion of the velum…”
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Acoustic-to-Articulatory Speech Inversion Features for Mispronunciation Detection of /r/ in Child Speech Sound Disorders by Benway, Nina R, Siriwardena, Yashish M, Preston, Jonathan L, Hitchcock, Elaine, McAllister, Tara, Espy-Wilson, Carol

“…Proc. INTERSPEECH 2023, 4568-4572 Acoustic-to-articulatory speech inversion could enhance automated clinical mispronunciation detection to provide detailed…”
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Audio Data Augmentation for Acoustic-to-articulatory Speech Inversion using Bidirectional Gated RNNs by Siriwardena, Yashish M, Attia, Ahmed Adel, Sivaraman, Ganesh, Espy-Wilson, Carol

“…Data augmentation has proven to be a promising prospect in improving the performance of deep learning models by adding variability to training data. In…”
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Multimodal Approach for Assessing Neuromotor Coordination in Schizophrenia Using Convolutional Neural Networks by Siriwardena, Yashish M, Kitchen, Chris, Kelly, Deanna L, Espy-Wilson, Carol

“…Proceedings of the 2021 International Conference on Multimodal Interaction This study investigates the speech articulatory coordination in schizophrenia…”
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