Results 161 to 170 of about 14,332 (195)

Modeling intra-label dynamics in connectionist temporal classification

2017 7th International Conference on Computer and Knowledge Engineering (ICCKE), 2017
Most sequence processing tasks can be cast as a problem of mapping a sequence of observations into a sequence of labels. This is a very difficult problem since the association between input data sequences and output label sequences is not given at the frame level. Recurrent neural networks (RNNs) equipped with connectionist temporal classification (CTC)
Ashkan Sadeghi Lotfabadi, Kamaledin Ghiasi-Shirazi, Ahad Harati   +2 more
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Keyword retrieving in continuous speech using connectionist temporal classification

Journal of Ambient Intelligence and Humanized Computing, 2020
The issue of Speech Keyword Retrieval (SKR) has received considerable critical attention. SKR aims to retrieve data from a speech repository given by a spoken query. The accuracy of retrieval often depends on the performance of acoustic model. In this paper, we proposed a new speech keyword retrieval framework called DCNN-CTC using Deep Convolutional ...
Dong Liu, Qirong Mao, Zhiyong Wang
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Applying connectionist temporal classification objective function to Chinese Mandarin speech recognition

2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2016
In automatic speech recognition (ASR), connectionist temporal classification (CTC) is regarded as a method to achieve end-to-end system. Actually, not only characters (Chars) but also context independent phonemes (CI-Phns) or context dependent phoneme (CD-Phns) can be used as output units of CTC-trained neural network.
Pengrui Wang, Jie Li, Bo Xu
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Connectionist Temporal Classification

2012
This chapter introduces the connectionist temporal classification (CTC) output layer for recurrent neural networks (Graves et al., 2006). As its name suggests, CTC was specifically designed for temporal classification tasks; that is, for sequence labelling problems where the alignment between the inputs and the target labels is unknown.
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Character Recognition Operations of a Connectionist Temporal Classification in Neural Network

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 2019
Neural network plays a major role in recognizing the character from image text lines, usually consist of convolutional neural network (CNN), which performs to extract characters from the text lines of image and Recurrent Neural Network to propagate the sequence of information to neural network. Connectionist temporal classification can handle vanishing
Pinagadi Venkateswararao, S. Murugavalli
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End-to-end keywords spotting based on connectionist temporal classification for Mandarin

2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP), 2016
Traditional hybrid DNN-HMM based ASR system for keywords spotting which models HMM states are not flexible to optimize for a specific language. In this paper, we construct an end-to-end acoustic model based ASR for keywords spotting in Mandarin.
Ye Bai, Jiangyan Yi, Hao Ni, Zhengqi Wen, Bin Liu, Ya Li, Jianhua Tao   +6 more
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A first attempt at polyphonic sound event detection using connectionist temporal classification

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Sound event detection is the task of detecting the type, starting time, and ending time of sound events in audio streams. Recently, recurrent neural networks (RNNs) have become the mainstream solution for sound event detection. Because RNNs make a prediction at every frame, it is necessary to provide exact starting and ending times of the sound events ...
Yun Wang, Florian Metze
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Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition

INTERSPEECH 2023, 2023
Lars Rumberg, Christopher Gebauer, Hanna Ehlert, Maren Wallbaum, Ulrike Lüdtke, Joern Ostermann   +5 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Practical Connectionist Temporal Classification for accurate and efficient training

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT), 2022
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