随笔分类 - 语音增强(SE)
Speech Enhancement
摘要:论文地址:语义听觉:用双耳可听器编程声学场景 论文代码:https://semantichearing.cs.washington.edu/ 引用格式:Veluri B, Itani M, Chan J, et al. Semantic Hearing: Programming Acoustic S
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摘要:论文地址:微型循环U-Net实时降噪和去混响 论文代码: https://github.com/YangangCao/TRUNet https://github.com/Okrio/tinyrecurrentunet 引用格式:Choi H S, Park S, Lee J H, et al. Re
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摘要:论文地址:THLNet: 用于单耳语音增强的两级异构轻量级网络 代码:https://github.com/dangf15/THLNet 引用格式:Dang F, Hu Q, Zhang P. THLNet: two-stage heterogeneous lightweight network f
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摘要:论文地址:相位感知深度语音增强:这完全取决于帧长 论文代码:https://github.com/CarmiShimon/Phase-Aware-Deep-Speech-Enhancement 引用格式:Peer T, Gerkmann T. Phase-aware deep speech enha
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摘要:博客地址:凌逆战 (转载请注明出处) 论文地址:PercepNet+: 用于实时语音增强的相位和信噪比感知 PercepNet 引用格式: Ge X, Han J, Long Y, et al. PercepNet+: A Phase and SNR Aware PercepNet for Real
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摘要:论文地址:TEA-PSE: 用于ICASSP 2022 DNS挑战赛的Tencent-ethereal-audio-lab 个性化语音增强系统 论文代码: 引用格式:Ju Y, Rao W, Yan X, et al. TEA-PSE: Tencent-ethereal-audio-lab pers
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摘要:论文地址:TEA-PSE 2.0:用于实时个性化语音增强的子带网络 引用:Ju Y, Zhang S, Rao W, et al. Tea-pse 2.0: Sub-band network for real-time personalized speech enhancement[C]//2022
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摘要:论文地址:带轴向注意的多尺度时域频率卷积网络语音增强 论文代码:https://github.com/echocatzh/MTFAA-Net 引用:Zhang G, Yu L, Wang C, et al. Multi-scale temporal frequency convolutional n
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摘要:博客地址:凌逆战 论文地址:DeepFilternet2: 面向嵌入式设备的全波段音频实时语音增强 论文代码:https://github.com/Rikorose/DeepFilterNet 引用格式:Schröter H, Rosenkranz T, Maier A. DeepFilterNet
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摘要:论文地址:一种新的基于循环神经网络的远场语音通信实时噪声抑制算法 引用格式:Chen B, Zhou Y, Ma Y, et al. A New Real-Time Noise Suppression Algorithm for Far-Field Speech Communication Base
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摘要:论文地址:基于分层递归神经网络的嵌入式设备轻量化在线降噪 引用格式:Schröter H, Rosenkranz T, Zobel P, et al. Lightweight Online Noise Reduction on Embedded Devices using Hierarchical
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摘要:论文地址:延迟约束的语音增强基音估计 引用格式:Schröter H, Rosenkranz T, Escalante-B A N, et al. LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement[C]//Inte
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摘要:论文地址:单耳语音增强的时频注意 引用格式:Zhang Q, Song Q, Ni Z, et al. Time-Frequency Attention for Monaural Speech Enhancement[C]//ICASSP 2022-2022 IEEE International C
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摘要:论文地址:TinyLSTMs:助听器的高效神经语音增强 音频地址:https://github.com/Bose/efficient-neural-speech-enhancement 引用格式:Fedorov I,Stamenovic M,Jensen C,et al. TinyLSTMs:Eff
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摘要:论文地址:深度噪声抑制模型的性能优化 引用格式:Chee J, Braun S, Gopal V, et al. Performance optimizations on deep noise suppression models[J]. arXiv preprint arXiv:2110.0437
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摘要:论文地址:面向基于深度学习的语音增强模型压缩 论文代码:没开源,鼓励大家去向作者要呀,作者是中国人,在语音增强领域 深耕多年 引用格式:Tan K, Wang D L. Towards model compression for deep learning based speech enhancem
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摘要:论文地址:DCCRN:用于相位感知语音增强的深度复杂卷积循环网络 论文代码:https://paperswithcode.com/paper/dccrn-deep-complex-convolution-recurrent-1 引用:Hu Y,Liu Y,Lv S,et al. DCCRN: Dee
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摘要:论文地址:双路信号变换LSTM网络的实时噪声抑制 论文代码:https://github.com/breizhn/DTLN 引用格式:Westhausen N L, Meyer B T. Dual-signal transformation LSTM network for real-time no
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摘要:论文地址:PACDNN:一种用于语音增强的相位感知复合深度神经网络 相似代码:https://github.com/phpstorm1/SE-FCN 引用格式:Hasannezhad M,Yu H,Zhu W P,et al. PACDNN: A phase-aware composite deep
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摘要:博客作者:凌逆战 论文地址:DeepFilterNet:基于深度滤波器的全频带音频低复杂度语音增强框架 论文代码:https://github.com/Rikorose/DeepFilterNet 引用:Schröter H, Rosenkranz T, Maier A. DeepFilterNet
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