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Comparison of different wavelet decomposition techniques for PEAQ model to assess the quality of audio codecs

机译:PEAQ模型评估音频编解码质量的不同小波分解技术的比较

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Audio quality is one of the key factors when designing a digital system for broadcasting. The rapid prelude of bit-rate reduction schemes has led to paramount efforts in establishing and refining procedures for subjective assessments, simply because formal heedfully auricularly discerning tests have been the only germane method for judging audio quality. Perceptual Evaluation of audio quality (PEAQ) is the only available standardized method for the assessing the audio quality as of today. The PEAQ model is the FFT predicated standard. In this work we have proposed a novel method utilizing sundry wavelet decomposition techniques in lieu of FFT to implement PEAQ. Next step involves the comparison of objective difference grade (ODG) for the FFT predicated method and the novel proposed wavelet decomposition techniques, wavelet hoisting techniques. The input to the Proposed PEAQ model is a reference signal (wav) and test signal. The test signal is prepared by the reference wave file which is encoded (compressed) then decoded (decompressed) using the codecs like MP4, MP3, AAC, OGG and WMA(the decoded reference signal is again a wave file which will be treated as test signal). The output of proposed PEAQ model (excitation parameters) or variables are called Model Output Variables MOV. The final stage of the measurement model combines the MOV values to produce a single output value that directly corresponds to an expected result from a subjective quality assessment - ODG. In this work we implement a PEAQ using novel methods using different wavelet decomposition techniques and wavelet lifting techniques and then compare the ODG from actual PEAQ model (which is FFT based)and ODG from the different wavelet decomposition & wavelet lifting based PEAQ model.
机译:音频质量是设计广播数字系统时的关键因素之一。比特率减少方案的快速前奏导致了建立和炼制主观评估程序的努力,仅仅因为正式的耳状耳机测试是判断音频质量的唯一锗烷方法。音频质量的感知评估(PEAQ)是截至今天的音频质量的唯一可用标准化方法。 PEAQ模型是FFT预测标准。在这项工作中,我们提出了一种利用Sundry小波分解技术的新方法,代替FFT实现PEAQ。下一步涉及对FFT预测方法的客观差异等级(ODG)的比较和新颖的提出的小波分解技术,小波提升技术。提出的PEAQ模型的输入是参考信号(WAV)和测试信号。测试信号由参考波文件编码(压缩),然后使用MP4,MP3,AAC,OGG和WMA等编解码器解码(解压缩)(解码的参考信号再次被视为测试的波文件信号)。所提出的PEAQ模型(激励参数)或变量的输出称为Model输出变量MOV。测量模型的最终阶段组合了MOV值,产生单个输出值,该值直接对应于来自主观质量评估的预期结果 - ODG。在这项工作中,我们使用不同小波分解技术和小波提升技术的新方法实现PEAQ,然后将ODG与来自不同小波分解和小波升降的PUAQ模型的不同小波分解和小波升降的ODG比较。

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