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Identification of Palatal Fricative Fronting Using Shannon Entropy of Spectrogram

机译:使用Shannon熵谱识别谱分子熵射击射击

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In this paper, an attempt has been made to identify palatal fricative fronting in children speech, where postalveolar /sh/ is mispronounced as dental /s/. In children's speech, the concentration of energy (darkest part) of spectrogram for /s/ ranges 4000 Hz to 8000 Hz, whereas it ranges 3000 Hz 8000 Hz for /sh/. Gammatonegram follows the frequency subbands of the ear (wider for higher frequencies). Various spectral properties such as spectral centroid, spectral crest factor, spectral decrease, spectral flatness, spectral flux, spectral kurtosis, spectral spread, spectral skewness, spectral slope and Shannon entropy of the spectrogram (interval of 2000 Hz), extracted from the Gammatonegram are proposed for the characterization of /sh/ and /s/. The dataset recorded from 60 native Kannada speaking children of age between 3 1/2 to 6 1/2 years is considered for the analysis from NITK Kids' Speech Corpus. Support vector machine (SVMs) is considered for the classification. Various combinations of the proposed features are considered for the evaluation, along with the MFCCs(39) and LPCCs(39). Combination of MFCCs(39), LPCCs(39) and Entropy(4) is observed to achieve highest mispronunciation identification performance of 83.2983%.
机译:在本文中,已经尝试识别儿童言语的腭射击射击,其中后阴道/ SH /误入歧途/ s / s /。在儿童的言语中,谱图的能量浓度(最黑暗的部分)/ s / s / s / s /范围为4000 hz至8000 hz,而它距离/ sh / sh / sh / sh / sh / sh / sh。 γ垂直遵循耳朵的频率子带(更高频率的较宽)。诸如光谱质心,光谱峰值,光谱降低,光谱平整度,光谱偏移,光谱峰值,光谱分布,光谱斜率,光谱斜率和香农熵的光谱分度,光谱分布,光谱坡度和谱熵(2000 Hz的间隔),是从γOnGram提取的提出表征/ sh / sc / s /。从恩尼克儿童的语音语料库中分析了从3个1/2至6 1/2岁之间录制的数目克南人的数据集。支持向量机(SVM)被认为是分类。考虑所提出的特征的各种组合,用于评估,以及MFCC(39)和LPCC(39)。观察MFCC(39),LPCC(39)和熵(4)的组合,以实现83.2983%的最误用识别性能。

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