4 papers
The impact of Audio input representations on neural network based music transcription
Kin Wai Cheuk, Kat Agres, Dorien Herremans
This paper thoroughly analyses the effect of different input representations on polyphonic multi-instrument music transcription. We use our own GPU based spectrogram extraction too…
Regression-based music emotion prediction using triplet neural networks
Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B +3
In this paper, we adapt triplet neural networks (TNNs) to a regression task, music emotion prediction. Since TNNs were initially introduced for classification, and not for regressi…
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
Kin Wai Cheuk, Hans Anderson, Kat Agres +1
Converting time domain waveforms to frequency domain spectrograms is typically considered to be a prepossessing step done before model training. This approach, however, has several…
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks
Kin Wai Cheuk, Balamurali B. T., Gemma Roig +1
We present an approach to tackle the speaker recognition problem using Triplet Neural Networks. Currently, the -vector representation with probabilistic linear discriminant anal…