Estimation of environmental conditions based on acoustic signals for speech dialog systems

在语音对话系统中，用户和环境的条件没有得到充分的考虑。提出了基于声信号的环境条件估计方法。使用估计的声学传递函数来估计从用户到系统的距离。首先，根据每个距离的脉冲响应创建取决于距离的频率特性的模板。为了估计传递函数，我们使用干净语音模型计算输入语音和干净语音之间的差异。这种差异意味着传递函数取决于距离。可以从最近的模板估计距离。在判别实验中获得了几乎80%的准确度，该判别实验是为了确定距离是否小于或大于1 m。

The conditions of users and environments are not considered much in speech dialog systems. We propose the estimation method of environmental conditions based on acoustic signals. The distance from a user to a system is estimated using estimated an acoustic transfer function. At first, templates of frequency characteristics depending on the distance are created from impulse responses for each distance. To estimate the transfer functions, we calculate the difference between input speech and clean speech using clean speech models. This difference means the transfer function depending on the distance. The distance can be estimated from the nearest template. The almost 80 % accuracy was obtained in the discriminative experiments that was to decide if the distance is closer or far than 1 m.