There are 8 categories of music emotions.
1. Sad
2. Happy
3. Interesting
and there are 5 mores.
The following features are used to classify music emotions
1. Tempo
2. Pitches
Friday, September 19, 2008
Automatic music emotions classification
There are 8 categories of music emotions.
1. Sad
2. Happy
3. Interesting
and there are 5 mores.
The following features are used to classify music emotions
1. Tempo
2. Pitches
1. Sad
2. Happy
3. Interesting
and there are 5 mores.
The following features are used to classify music emotions
1. Tempo
2. Pitches
Thursday, September 18, 2008
Telecommunications evolution
1. Network transformation (e.g. time-based switches to packet-based switches).
2. Service providers transformation (e.g. voice and limited data service on public switched telephone network (PSTN) vs. voice and broadband-based voice and data on fixed and wireless networks).
3. Service transformation (e.g. voice over copper to voice over IP networks, TVs over IP networks, tele-video conferences).
2. Service providers transformation (e.g. voice and limited data service on public switched telephone network (PSTN) vs. voice and broadband-based voice and data on fixed and wireless networks).
3. Service transformation (e.g. voice over copper to voice over IP networks, TVs over IP networks, tele-video conferences).
Telecommunications evolution
1. Network transformation (e.g. time-based switches to packet-based switches).
2. Service providers transformation (e.g. voice and limited data service on public switched telephone network (PSTN) vs. voice and broadband-based voice and data on fixed and wireless networks).
3. Service transformation (e.g. voice over copper to voice over IP networks, TVs over IP networks, tele-video conferences).
2. Service providers transformation (e.g. voice and limited data service on public switched telephone network (PSTN) vs. voice and broadband-based voice and data on fixed and wireless networks).
3. Service transformation (e.g. voice over copper to voice over IP networks, TVs over IP networks, tele-video conferences).
Wednesday, September 17, 2008
Data representation
To represent a source of data in a compact form
1. Using the affine transform
2. Using the fractal transform
3. Using the Fourier transform
4. Using the wavelet transform
1. Using the affine transform
2. Using the fractal transform
3. Using the Fourier transform
4. Using the wavelet transform
Data representation
To represent a source of data in a compact form
1. Using the affine transform
2. Using the fractal transform
3. Using the Fourier transform
4. Using the wavelet transform
1. Using the affine transform
2. Using the fractal transform
3. Using the Fourier transform
4. Using the wavelet transform
Transform coding
1. Divide the sequence {x_n} into N blocks. Each block is mapped into a transformed sequence using a reversible mapping.
2. Quantizing the transform sequence. The quantization strategy depends on three main factors: the desired average bit rate, the statistics of the elements of transformed sequence and the effect of distortion in the transformed sequence on the reconstructed sequence.
3. Encode the quantized values using some binary encoding technique.
2. Quantizing the transform sequence. The quantization strategy depends on three main factors: the desired average bit rate, the statistics of the elements of transformed sequence and the effect of distortion in the transformed sequence on the reconstructed sequence.
3. Encode the quantized values using some binary encoding technique.
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