What is pre-emphasis in MFCC?

What is pre-emphasis in MFCC?

Pre-emphasis: Pre-emphasis refers to filtering that emphasizes the higher fre- quencies. Its purpose is to balance the spectrum of voiced sounds that have a. steep roll-off in the high frequency region.

What is pre-emphasis in speech recognition?

Pre-emphasis. Usually speech signal is pre-emphasized before any further processing. By looking at the spectrum of voiced segments we can see that the energy in the voice samples distributes more in the lower frequencies than in the higher frequencies.

What are the MFCC features?

The MFCC feature extraction technique basically includes windowing the signal, applying the DFT, taking the log of the magnitude, and then warping the frequencies on a Mel scale, followed by applying the inverse DCT. The detailed description of various steps involved in the MFCC feature extraction is explained below.

Why do we need to pre emphasize the speech signal before computing the MFCC feature?

For speech/speaker recognition, the most commonly used acoustic features are mel-scale frequency cepstral coefficient (MFCC for short). The z-transform of the filter is H(z)=1-a*z-1 The goal of pre-emphasis is to compensate the high-frequency part that was suppressed during the sound production mechanism of humans.

What do MFCC coefficients represent?

In sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC.

What is pre-emphasis Why is it used?

Pre-emphasis should be used when the signal loss in the transmission channel between Transmitter and Receiver is heavy and the signal observed at the end of Receiver is less than the receiving sensitivity required for Receiver.

What is meant by pre-emphasis?

Definition of preemphasis : the intentional alteration of the relative strengths of signals at different frequencies (as in radio and in disc recording) to reduce adverse effects (as noise) in the following parts of the system.

Why is pre-emphasis needed?

The reason that preemphasis is needed is that the process of detecting a frequency-modulated signal in a receiver produces a noise spectrum that rises in frequency (a so-called triangular spectrum). Preemphasis increases the magnitude of the higher signal frequencies, thereby improving the signal-to-noise ratio.

What is the output of MFCC?

The output after applying MFCC is a matrix having feature vectors extracted from all the frames. In this output matrix the rows represent the corresponding frame numbers and columns represent corresponding feature vector coefficients [1-4]. Finally this output matrix is used for classification process.

What is the range of MFCC?

The MFCCs are commonly used as timbral descriptors. Output values are somewhat normalised for the range 0.0 to 1.0, but there are no guarantees on exact conformance to this. Commonly, the first coefficient will be the highest value.