Results 61 to 70 of about 76,886 (181)

Quantum Activation Functions in Neural Networks: A Systematic Review of Approaches, Performance Impacts, and Practical Applications

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, Mônica Silva de Oliveira, Adonney Allan de Oliveira Veras   +2 more
wiley   +1 more source

BERT-NAR-BERT: A Non-Autoregressive Pre-Trained Sequence-to-Sequence Model Leveraging BERT Checkpoints

IEEE Access
We introduce BERT-NAR-BERT (BnB) – a pre-trained non-autoregressive sequence-to-sequence model, which employs BERT as the backbone for the encoder and decoder for natural language understanding and generation tasks.
Mohammad Golam Sohrab, Masaki Asada, Matiss Rikters, Makoto Miwa   +3 more
doaj   +1 more source

Accented Speech Recognition Based on End-to-End Domain Adversarial Training of Neural Networks

Applied Sciences, 2021
The performance of automatic speech recognition (ASR) may be degraded when accented speech is recognized because the speech has some linguistic differences from standard speech.
Hyeong-Ju Na, Jeong-Sik Park
doaj   +1 more source

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, Rudolf M. Füchslin, Achille Giacometti, Helmut Hauser, Marco Werner   +4 more
wiley   +1 more source

Online Sequence Training of Recurrent Neural Networks with Connectionist Temporal Classification

CoRR, 2015
Final version: Kyuyeon Hwang and Wonyong Sung, "Sequence to Sequence Training of CTC-RNNs with Partial Windowing," Proceedings of The 33rd International Conference on Machine Learning, pp. 2178-2187, 2016.
Kyuyeon Hwang, Wonyong Sung
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, Michael Castelle, Anna Weichselbraun   +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, Yann Teytaut, Axel Roebel   +2 more
doaj   +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, Bingtian Chen, Tianying Sheng, Yongbin Yu, Xiangxiang Wang, Jin Zhang, Lobsang Yeshi, Rinchen Dongrub, Thupten Tsering, Nyima Tashi   +9 more
wiley   +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, Florian Eyben, Björn W. Schuller, Gerhard Rigoll   +3 more
openaire   +2 more sources

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, Lauren P. Schilling, Mark S. Seidenberg   +2 more
wiley   +1 more source