O (11) Flashcards

(10 cards)

1
Q

What does MFCC stand for?

A

Mel-Frequency Cepstral Coefficients

MFCC is a feature extraction technique used in audio processing.

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2
Q

What does PLP-CC stand for?

A

Perceptual Linear Prediction Cepstral Coefficients

PLP-CC is another feature extraction technique used in audio processing.

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3
Q

What are the two main types of features that can extend the feature set?

A
  • Amplitude features
  • Dynamic features

Dynamic features include deltas and accelerations.

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4
Q

What is an amplitude feature mentioned in the text?

A

Log energy

Log energy is a way to encode the signal level.

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5
Q

What is the frequency analysis method used in MFCC?

A

STFT & triangular mel critical-band filters

STFT stands for Short-Time Fourier Transform.

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6
Q

What is the frequency analysis method used in PLP-CC?

A

STFT & equal-loudness filters

Equal-loudness filters apply a 6 dB/octave weighting.

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7
Q

What type of smoothing is used in MFCC?

A

Cepstral smoothing

This technique helps in reducing noise in the feature extraction process.

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8
Q

What type of smoothing is used in PLP-CC?

A

LPC smoothing

LPC stands for Linear Predictive Coding.

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9
Q

What is the frequency weighting method used in MFCC?

A

Logarithmic

Logarithmic weighting helps in emphasizing perceptually important frequencies.

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10
Q

What is the frequency weighting method used in PLP-CC?

A

Cube-root

Cube-root weighting is used to model human auditory perception.

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