Concept
Speech repetition
Related publications (164)
Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models
Auditory research aims in general to lead to understanding of physiological processes. By contrast, the state of the art in automatic speech processing (notably recognition) is dominated by large pre-trained models that are meant to be used as black-boxes. ...
2024Sparse Autoencoders for Speech Modeling and Recognition
Speech recognition-based applications upon the advancements in artificial intelligence play an essential role to transform most aspects of modern life. However, speech recognition in real-life conditions (e.g., in the presence of overlapping speech, varyin ...
EPFL2023Automatic pathological speech assessment
Many pathologies cause impairments in the speech production mechanism resulting in reduced speech intelligibility and communicative ability. To assist the clinical diagnosis, treatment and management of speech disorders, automatic pathological speech asses ...
EPFL2022On Breathing Pattern Information in Synthetic Speech
Mathew Magimai Doss, Zohreh Mostaani
The respiratory system is an integral part of human speech production. As a consequence, there is a close relation between respiration and speech signal, and the produced speech signal carries breathing pattern related information. Speech can also be gener ...
ISCA-INT SPEECH COMMUNICATION ASSOC2022Word-level Embeddings for Cross-Task Transfer Learning in Speech Processing
Milos Cernak, Pierre Anton Beckmann
Recent breakthroughs in deep learning often rely on representation learning and knowledge transfer. In recent years, unsupervised and self-supervised techniques for learning speech representation were developed to foster automatic speech recognition. Up to ...
EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP2021Automatic Dysarthric Speech Detection Exploiting Pairwise Distance-Based Convolutional Neural Networks
Hervé Bourlard, Ina Kodrasi, Parvaneh Janbakhshi
Automatic dysarthric speech detection can provide reliable and cost-effective computer-aided tools to assist the clinical diagnosis and management of dysarthria. In this paper we propose a novel automatic dysarthric speech detection approach based on analy ...
IEEE2021Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities
Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Aditi Kothiyal
Understanding how learners engage with learning technologies, and its relation with their learning, is crucial to the design of effective learning interventions. Assessing the learners’ state however, is non-trivial. Research suggests that performance is n ...
2021On Modeling Glottal Source Information for Phonation Assessment in Parkinson's Disease
Mathew Magimai Doss, Julian David Fritsch
Parkinson's disease produces several motor symptoms, including different speech impairments that are known as hypokinetic dysarthria. Symptoms associated to dysarthria affect different dimensions of speech such as phonation, articulation, prosody, and inte ...
ISCA-INT SPEECH COMMUNICATION ASSOC2021Studying Alignment in Spontaneous Speech via Automatic Methods: How Do Children Use Task-specific Referents to Succeed in a Collaborative Learning Activity?
A dialogue is successful when there is alignment between the speakers, at different linguistic levels. In this work, we consider the dialogue occurring between interlocutors engaged in a collaborative learning task, and explore how performance and learning ...
2021Utterance Verification-Based Dysarthric Speech Intelligibility Assessment Using Phonetic Posterior Features
Mathew Magimai Doss, Julian David Fritsch
In the literature, the task of dysarthric speech intelligibility assessment has been approached through development of different low-level feature representations, subspace modeling, phone confidence estimation or measurement of automatic speech recognitio ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021