May 2, 2022 · We propose a hybrid acoustic model of deep convolutional neural network, long short-term memory, and deep neural network (DCNN-LSTM-DNN, DLD).
May 2, 2022 · To improve the performance of offline Chinese speech recognition, we propose a hybrid acoustic model of deep convolutional neural network, long ...
To improve the performance of offline Chinese speech recognition, we propose a hybrid acoustic model of deep convolutional neural network, long short-term ...
The experimental results show that the Chinese speech recognition system based on deep learning achieves 90% accuracy on the test set and has an excellent ...
Missing: DLD: | Show results with:DLD:
The accuracies of DCNN-CTC and DLD. DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning.
This paper creates a Chinese speech recognition model, constructs an acoustic model using Deep Full Sequence Convolutional Neural Network (DFCNN) and ...
Missing: Optimized | Show results with:Optimized
Lee, "DLD: an optimized Chinese speech recognition model based on deep learning," Complexity, vol. 2022, article no. 6927400, 2022. https://doi.org/10.1155 ...
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Jul 26, 2024 · This paper mainly investigates a deep learning-based human voice recognition system. A deep neural network based human voice recognition model is used.
Missing: Optimized | Show results with:Optimized
Oct 27, 2023 · Based on the DTW algorithm, speech recognition not only has a high recognition rate, but also has a faster recognition speed.
Missing: DLD: | Show results with:DLD:
May 6, 2024 · Our research aims to evaluate the impact of various configurations of speech encoders, LLMs, and projector modules in the context of the speech foundation ...