Titlebook: Man-Machine Speech Communication; 18th National Confer Jia Jia,Zhenhua Ling,Zixing Zhang Conference proceedings 2024 The Editor(s) (if appl

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,Joint Speech and Noise Estimation Using SNR-Adaptive Target Learning for Deep-Learning-Based Speech between speech enhancement (SE) and automatic speech recognition (ASR) modules. The progressive learning (PL) methods have revealed the importance of retaining residual noise in the training targets of the enhancement model to alleviate this mismatch. Inspired by this, we adopt an SNR-adaptive targ

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整洁

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,End-to-End Streaming Customizable Keyword Spotting Based on Text-Adaptive Neural Search,est-time customizable keyword spotting in streaming mode remains a great challenge due to the lack of pre-collected keyword-specific training data and the requirement of streaming detection output. In this paper, we propose a novel end-to-end text-adaptive neural search architecture with a multi-lab

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PAC

Emotional Support Dialog System Through Recursive Interactions Among Large Language Models,t advancements in large language models (LLMs) have shown their significant potential in emotional support conversations. However, despite the impressive reasoning capabilities and extensive knowledge of LLMs, they fall short in using strategy and achieving overall goals in multi-turn counseling con

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,Real-Time Automotive Engine Sound Simulation with Deep Neural Network,present a hybrid approach combining both sample-based and procedural methods. In the sample-based technique, the sound of an idle engine undergoes pitch-shifting proportional to the ratio of current RPM to idle RPM. For the procedural technique, deep neural networks fine-tune the amplitude of the en

共和国

,A Framework Combining Separate and Joint Training for Neural Vocoder-Based Monaural Speech Enhancemthe original phase spectrum. Nonetheless, this may introduce speech distortion. While the intricate nature of the multifaceted spectra and waveform characteristics presents formidable challenges in training. In this paper, we introduce a novel framework with the Mel-spectrogram serving as an interme

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