18 citations · 26 across the 11 of their papers we have counts for
11 papers
Stereo Reproduction in the Presence of Sample Rate Offsets
Srikanth Korse, Andreas Walther, Emanuel A. P. Habets
One of the main challenges in synchronizing wirelessly connected loudspeakers for spatial audio reproduction is clock skew. Clock skew arises from sample rate offsets ( SROs) betwe…
Training Strategies for Modality Dropout Resilient Multi-Modal Target Speaker Extraction
Srikanth Korse, Mohamed Elminshawi, Emanuel A. P. Habets +1
The primary goal of multi-modal TSE (MTSE) is to extract a target speaker from a speech mixture using complementary information from different modalities, such as audio enrolment a…
Parametric Object Coding in IVAS: Efficient Coding of Multiple Audio Objects at Low Bit Rates
Andrea Eichenseer, Srikanth Korse, Guillaume Fuchs +1
The recently standardized 3GPP codec for Immersive Voice and Audio Services (IVAS) includes a parametric mode for efficiently coding multiple audio objects at low bit rates. In thi…
Sample Rate Offset Compensated Acoustic Echo Cancellation For Multi-Device Scenarios
Srikanth Korse, Oliver Thiergart, Emanuel A. P. Habets
Acoustic echo cancellation (AEC) in multi-device scenarios is a challenging problem due to sample rate offset (SRO) between devices. The SRO hinders the convergence of the AEC filt…
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…
NESC: Robust Neural End-2-End Speech Coding with GANs
Nicola Pia, Kishan Gupta, Srikanth Korse +2
Neural networks have proven to be a formidable tool to tackle the problem of speech coding at very low bit rates. However, the design of a neural coder that can be operated robustl…
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 DNN Based Post-Filter to Enhance the Quality of Coded Speech in MDCT Domain
Kishan Gupta, Srikanth Korse, Bernd Edler +1
Frequency domain processing, and in particular the use of Modified Discrete Cosine Transform (MDCT), is the most widespread approach to audio coding. However, at low bitrates, audi…
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,…
Enhancement Of Coded Speech Using a Mask-Based Post-Filter
Srikanth Korse, Kishan Gupta, Guillaume Fuchs
The quality of speech codecs deteriorates at low bitrates due to high quantization noise. A post-filter is generally employed to enhance the quality of the coded speech. In this pa…