| Title |
Week |
Topics |
Additional information |
wav sounds/ Matlab code |
assignment |
|
| Overview |
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| Ch1: Introduction to audio signal processing | 1 |
Week1 |
tz1, tz2, sor1, violin3x A4_oboe , trumpet , sor1, A4_violin ,A5_flute |
|
||
| Ch2: Pre-processing of
audio signals |
2 |
Time & frequency domain processing, Fourier transform, spectrogram | ||||
| Ch3: Feature
extraction from audio signals |
2 |
Filtering, LPC , Cepstral coefficients | Assignment1(Submission deadline: 22 Oct 2017,
23:59)
|
|||
| Ch4: Feature
representation and compression:Vector quantization |
2/3 |
VQ, K-means | ||||
| Ch5: Speech Recognition |
3 |
End point detection, per-emphasis, distortion measures, dynamic programming | 5707_revision_Q&A_audio.doc |
|
||
Ch6: Classification using Adaboost, |
4 |
Classifiers, boosting |
|
|||
| Ch7: Face detection | 4 |
Face features, Attentional cascade, |
|
|
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| Ch8: Neural Networks |
5 |
Feed-forward, feed-backward networks, training and recognition | ||||
Ch9: Convolution Neural Network CNN |
6 |
Convolution Neural Network CNN |
|
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| The final examination
will cover all materials from chapter 1 to 9. |
|