What is mel scale?
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The Mel scale is a perceptual scale of pitches based on human hearing sensitivity to different frequencies. It is commonly used in speech and audio processing applications to better model the human auditory system. The Mel scale is particularly useful in tasks like speech recognition, where features extracted using Mel frequency cepstrum analysis can effectively capture important characteristics of speech signals. Additionally, the Mel scale has been integrated into various models and algorithms, such as Mel-LPC, Mel-AR, and Mel-scaled AR models, to enhance the performance of tasks like coding, voice activity detection, and time-scale modification of speech signals. Overall, the Mel scale plays a crucial role in improving the accuracy and efficiency of various audio processing applications by aligning signal processing techniques with human auditory perception.
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Open access 01 Jan 2020 | The Mel scale is utilized in speech analysis to identify emotional states. It aids in classifying speech signals based on emotional and informational components. |
01 Mar 2017 6 Citations | Mel scale is utilized in the proposed model for time-scale modification of speech and audio signals, involving a mel-scale nonuniform bandwidth filter bank for improved perceptual quality. |
| Mel scale is utilized in the paper for analyzing breathing sounds. It helps extract features distinguishing normal and abnormal breathing states related to sleep-related breathing disorders with high accuracy. | |
1 Citations | Mel scale is incorporated into Linear Predictive Coding to reduce prediction filter order in CELP coding, enhancing quantization efficiency and achieving significant bit rate reduction in speech encoding. |
| Mel scale is utilized in Mel-AR model VAD for speech processing, estimating parameters on a linear frequency scale without bilinear transformation, enhancing speech recognition in noisy environments. |
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