Results 81 to 90 of about 3,274,646 (190)
Advanced Quantum Technologies, Volume 9, Issue 6, June 2026.This review explores how quantum activation functions can contribute to the evolution of neural networks toward quantum computing. The results show that classical‐quantum hybrid architectures are being tested in some practical applications, while fully quantum models are still in the development phase. These functions represent an important step toward
Petterson Pina dos Santos +2 more
wiley +1 more source
A Linear Memory CTC-Based Algorithm for Text-to-Voice Alignment of Very Long Audio Recordings
Applied Sciences, 2023 Synchronisation of a voice recording with the corresponding text is a common task in speech and music processing, and is used in many practical applications (automatic subtitling, audio indexing, etc.).
Guillaume Doras +2 more
doaj +1 more source
Probabilistic asr feature extraction applying context-sensitive connectionist temporal classification networks [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 This paper proposes a novel automatic speech recognition (ASR) front-end that unites the principles of bidirectional Long Short-Term Memory (BLSTM), Connectionist Temporal Classification (CTC), and Bottleneck (BN) feature generation. BLSTM networks are known to produce better probabilistic ASR features than conventional multilayer perceptrons since ...
Martin Wöllmer +2 more
openaire +2 more sources
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
LSE-FS-UVigo Dataset and Keypoint-Based Fingerspelling Recognition
IEEE AccessContinuous fingerspelling recognition remains a challenging task due to rapid hand and finger movements, coarticulation, and the limited availability of annotated data across sign languages. We introduce LSE-FS-UVigo, the first open dataset of continuous
Jose Luis Ruanova-Lea +2 more
doaj +1 more source
Spoken term detection with Connectionist Temporal Classification: A novel hybrid CTC-DBN decoder [PDF]
2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010 This paper proposes a novel system for robust keyword detection in continuous speech. Our decoder is composed of a bidirectional Long Short-Term Memory recurrent neural network using a Connectionist Temporal Classification (CTC) output layer, and a Dynamic Bayesian Network (DBN).
Martin Wöllmer +3 more
openaire +2 more sources
Language machines: Toward a linguistic anthropology of large language models
Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.Abstract Large language models (LLMs) challenge long‐standing assumptions in linguistics and linguistic anthropology by generating human‐like language without relying on rule‐based structures. This introduction to the special issue Language Machines calls for renewed engagement with LLMs as socially embedded language technologies.
Siri Lamoureaux +2 more
wiley +1 more source
Tibetan Data Augmentation via GAN‐Based Handwritten Text Generation
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 55-65, February 2026.ABSTRACT Increased awareness of Tibetan cultural preservation, along with technological advancements, has led to significant efforts in academic research on Tibetan. However, the structural complexity of the Tibetan language and limited labeled handwriting data impede advancements in Optical Character Recognition (OCR) and other applications.
Dorje Tashi +9 more
wiley +1 more source
A Connectionist Model of Spatial Knowledge Acquisition in a Virtual Environment [PDF]
, 2013 MLIRUM'03, Second Workshop on Machine Learning, Information Retrieval and User Modelling, at 9th International Conference on User Modelling, June 22nd-26th, Pittsburgh, PA, USAThis paper proposes the use of neural networks as a tool for studying ...
O'Hare, G. M. P. (Greg M. P.) +3 more
core +1 more source
Which Words Are Special? Identification of “Sight” Words in Educational Resources
Reading Research Quarterly, Volume 61, Issue 1, January/February/March 2026.We examined the overlap in words and properties in the contents of six commonly used word lists designed to support early word reading skills. The resources overlapped very little in their contents, including dramatic variation in terms of the properties of the words included in each.
Matthew J. Cooper Borkenhagen +2 more
wiley +1 more source