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Screening Matters: A Comparative Study of Conventional and Crowdsourced Listening Tests
Anika Treffehn, Andrea Eichenseer, Emily Kratsch +1
Subjective evaluation remains the most reliable way of testing speech and audio coding techniques. Crowdsourcing the listening task is a cost-efficient and fast way of conducting t…
UBGAN: Enhancing Coded Speech with Blind and Guided Bandwidth Extension
Kishan Gupta, Srikanth Korse, Andreas Brendel +2
In practical application of speech codecs, a multitude of factors such as the quality of the radio connection, limiting hardware or required user experience necessitate trade-offs…
On Improving Error Resilience of Neural End-to-End Speech Coders
Kishan Gupta, Nicola Pia, Srikanth Korse +3
Error resilient tools like Packet Loss Concealment (PLC) and Forward Error Correction (FEC) are essential to maintain a reliable speech communication for applications like Voice ov…
Neural Speech Coding for Real-time Communications using Constant Bitrate Scalar Quantization
Andreas Brendel, Nicola Pia, Kishan Gupta +3
Neural audio coding has emerged as a vivid research direction by promising good audio quality at very low bitrates unachievable by classical coding techniques. Here, end-to-end tra…
PostGAN: A GAN-Based Post-Processor to Enhance the Quality of Coded Speech
Srikanth Korse, Nicola Pia, Kishan Gupta +1
The quality of speech coded by transform coding is affected by various artefacts especially when bitrates to quantize the frequency components become too low. In order to mitigate…
A Streamwise GAN Vocoder for Wideband Speech Coding at Very Low Bit Rate
Ahmed Mustafa, Jan Büthe, Srikanth Korse +3
Recently, GAN vocoders have seen rapid progress in speech synthesis, starting to outperform autoregressive models in perceptual quality with much higher generation speed. However,…