机译:基于MAXVQ和CASA的单声道语音分离可增强语音识别能力
Digital Content Technology Research Centre, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
Digital Content Technology Research Centre, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
Digital Content Technology Research Centre, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;
monaural speech separation; computational auditory scene analysis (CASA); factorial-max vector quantization (MAXVQ); automatic speech recognition (ASR);
机译:基于说话者的基于深度神经网络的单通道联合语音分离和声学建模方法,用于多语音对话的鲁棒识别
机译:基于计算听觉场景分析和语音客观质量评估的单声道语音分离
机译:基于GMM的语音估计方法与基于时域SVD的语音增强相结合的噪声鲁棒语音识别
机译:Deep Casa,用于独立于说话者的单声道语音分离
机译:基于麦克风阵列,视听和帧选择的强大语音处理功能,可实现车载语音识别和内置说话人识别。
机译:几种用于单声道语音隔离的计算听觉场景分析(CASA)技术的比较
机译:基于NMF的语音和音乐分离在单声道语音记录中,具有稀疏性和时间连续性约束