Results 81 to 90 of about 47,965 (148)

Deep Speech: Scaling up end-to-end speech recognition

CoRR, 2014
We present a state-of-the-art speech recognition system developed using end-to-end deep learning. Our architecture is significantly simpler than traditional speech systems, which rely on laboriously engineered processing pipelines; these traditional systems also tend to perform poorly when used in noisy environments.
Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates 0002, Andrew Y. Ng   +10 more
openaire   +2 more sources

Speech-and-Text Transformer: Exploiting Unpaired Text for End-to-End Speech Recognition

APSIPA Transactions on Signal and Information Processing, 2023
Qinyi Wang, Xinyuan Zhou, Haizhou Li
doaj   +1 more source

Improving out of vocabulary words recognition accuracy for an end-to-end Russian speech recognition system

Научно-технический вестник информационных технологий, механики и оптики
Automatic Speech Recognition (ASR) systems are experiencing an active introduction into our daily lives, simplifying the way we interact with electronic devices. The advent of end-to-end approaches has only accelerated this process. However, the constant
A. Yu. Andrusenko, A. N. Romanenko
doaj   +1 more source

Multilingual Meta-Transfer Learning for Low-Resource Speech Recognition

IEEE Access
This paper proposes a novel meta-transfer learning method to improve automatic speech recognition (ASR) performance in low-resource languages. Nowadays, we are witnessing high interest in low-resource ASR tasks aiming at delivering feasible and reliable ...
Rui Zhou, Takaki Koshikawa, Akinori Ito, Takashi Nose, Chia-Ping Chen   +4 more
doaj   +1 more source

End-to-end audiovisual speech recognition based on attention fusion of SDBN and BLSTM

Dianxin kexue, 2019
An end-to-end audiovisual speech recognition algorithm was proposed.In algorithm,a sparse DBN was constructed by introducing mixed l_1/2norm and l₁norm into Deep Belief Network with bottleneck structure to ...
Yiming WANG, Ken CHEN, Aihaiti ABUDUSALAMU   +2 more
doaj   +2 more sources

Advancements in Speech Recognition: A Systematic Review of Deep Learning Transformer Models, Trends, Innovations, and Future Directions

IEEE Access
The transformer is a Deep Learning (DL) model that revolutionized language processing with its self-attention mechanism, enabling parallel processing and improving model efficiency, which dramatically reshaped the landscape of speech recognition ...
Yousef O. Sharrab, Hani Attar, Mohammad Ali H. Eljinini, Yasmin Al-Omary, Wala'A E. Al-Momani   +4 more
doaj   +1 more source

OS-Denseformer: A Lightweight End-to-End Noise-Robust Method for Chinese Speech Recognition

Applied Sciences
Automatic speech recognition (ASR) technology faces the dual challenges of model complexity and noise robustness when deployed on terminal devices (e.g., mobile devices, embedded systems). To meet the demand for lightweight and high-performance models in
Shiqi Que, Liping Qian, Mingqing Li, Qian Wang   +3 more
doaj   +1 more source

End-to-end Speech Recognition with similar length speech and text

CoRR
The mismatch of speech length and text length poses a challenge in automatic speech recognition (ASR). In previous research, various approaches have been employed to align text with speech, including the utilization of Connectionist Temporal Classification (CTC).
Peng Fan, Wenping Wang, Fei Deng
openaire   +2 more sources

An End-To-End Speech Recognition Model for the North Shaanxi Dialect: Design and Evaluation. [PDF]

Sensors (Basel)
Qin Y, Yu F.
europepmc   +1 more source

Adaptive Phoneme State Learning Architecture for Enhanced Speech Recognition Using Backpropagation Neural Network and Hidden Markov Model. [PDF]

F1000Res
Siddalingappa R, S D, Savitha M, P K, Stella Mary I P, Gornale S, B A L, Li K, Wen Goh K.   +8 more
europepmc   +1 more source