Results 101 to 110 of about 35,015 (307)

Mixture Density Networks, Human Articulatory Data and Acoustic-to-Articulatory Inversion of Continuous Speech [PDF]

, 2001
Researchers have been investigating methods for retrieving the articulation underlying an acoustic speech signal for more than three decades. A successful method would find many applications, for example: low bit-rate speech coding, helping individuals ...
Richmond, Korin, Richmond, K.; id_orcid
core  

Post-error Correction in Automatic Speech Recognition Using Discourse Information

Advances in Electrical and Computer Engineering, 2014
Overcoming speech recognition errors in the field of human computer interaction is important in ensuring a consistent user experience. This paper proposes a semantic-oriented post-processing approach for the correction of errors in speech recognition ...
KANG, S., KIM, J.-H., SEO, J.
doaj   +1 more source

Speech recognition in adverse conditions by humans and machines [PDF]

JASA Express Letters
In the development of automatic speech recognition systems, achieving human-like performance has been a long-held goal. Recent releases of large spoken language models have claimed to achieve such performance, although direct comparison to humans has ...
Chloe Patman, Eleanor Chodroff
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

A Formant Modification Method for Improved ASR of Children’s Speech

, 2022
Differences in acoustic characteristics between children’s and adults’ speech degrade performance of automatic speech recognition systems when systems trained using adults’ speech are used to recognize children’s speech.
Alku, Paavo, Kurimo, Mikko, Kadiri, Sudarsana, Kathania, Hemant   +3 more
core   +1 more source

Konuşma Tanıma için İnsan-makine Karşılaştırması

Dilbilim Araştırmaları Dergisi, 2008
Speech/voice recognition by machines has been a topic of interest since 1950s. Research that initially adopted dynamic programming methodologies now mostly uses the hidden Markov model as the method for speech recognition ...
Ayşe Gürel, Levent M. Arslan
doaj  

Lithuanian Speech Recognition Using Purely Phonetic Deep Learning

Computers, 2019
Automatic speech recognition (ASR) has been one of the biggest and hardest challenges in the field. A large majority of research in this area focuses on widely spoken languages such as English. The problems of automatic Lithuanian speech recognition have
Laurynas Pipiras, Rytis Maskeliūnas, Robertas Damaševičius   +2 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Toward Knowledge‐Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties

Advanced Engineering Materials, EarlyView.
Knowledge‐based atomistic workflows are presented for mechanical and thermodynamic properties. By coupling modular simulations with ontology‐aligned metadata and provenance, Fe case studies on elastic behavior, defects, thermal properties, and Hall–Petch strengthening reveal how FAIR, queryable, and reusable simulation data can be generated. Mechanical
Abril Azócar Guzmán, Hoang‐Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld   +5 more
wiley   +1 more source