The transition angles are defined to describe the vowel-to-vowel transitions in the acoustic space of the Spectral Subband Centroids, and the findings show that they are similar among speakers and speaking rates. In this paper, we propose to investigate the usage of polar coordinates in favor of angles to describe a speech signal by characterizing its acoustic trajectory and using them in Automatic Speech Recognition. According to the experimental results evaluated on the BRAF100 dataset, the polar coordinates achieved significantly higher accuracy than the angles in the mixed and cross-gender speech recognitions, demonstrating that these representations are superior at defining the acoustic trajectory of the speech signal. Furthermore, the accuracy was significantly improved when they were utilized with their first and second-order derivatives ($\Delta$, $\Delta$$\Delta$), especially in cross-female recognition. However, the results showed they were not much more gender-independent than the conventional Mel-frequency Cepstral Coefficients (MFCCs).
翻译:在本文中,我们建议调查极地坐标的使用情况,以便以其声学轨迹描述语音信号,并将其用于自动语音识别。根据BRAF100数据集评估的实验结果,极地坐标比混合和跨性别语音识别角度的精确度要高得多,这表明这些坐标在确定语音信号的声学轨迹方面处于优势地位。此外,在使用其第一和第二级衍生物(Delta$,$\Delta$,$\Delta$\Delta$,特别是在跨女性识别方面)时,精确度显著提高。但是,结果显示,极地坐标与传统的Mel-频率环球节能(MFCCs)相比,没有多少性别依赖性。