most citedA Transfer Learning Based Model for Text Readability Assessment in German

3 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SD20241 cited

ICASSP 2024 Speech Signal Improvement Challenge

Nicolae Catalin Ristea, Ando Saabas, Ross Cutler +3

The ICASSP 2024 Speech Signal Improvement Grand Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems. This marks…

eess.AS2023

Multi-dimensional Speech Quality Assessment in Crowdsourcing

Babak Naderi, Ross Cutler, Nicolae-Catalin Ristea

Subjective speech quality assessment is the gold standard for evaluating speech enhancement processing and telecommunication systems. The commonly used standard ITU-T Rec. P.800 de…

eess.IV20231 cited

Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs

Abrar Majeedi, Babak Naderi, Yasaman Hosseinkashi +3

Machine learning-based video codecs have made significant progress in the past few years. A critical area in the development of ML-based video codecs is an accurate evaluation metr…

eess.IV2023

VCD: A Video Conferencing Dataset for Video Compression

Babak Naderi, Ross Cutler, Nabakumar Singh Khongbantabam +4

Commonly used datasets for evaluating video codecs are all very high quality and not representative of video typically used in video conferencing scenarios. We present the Video Co…

eess.IV2023

LSTM-based Video Quality Prediction Accounting for Temporal Distortions in Videoconferencing Calls

Gabriel Mittag, Babak Naderi, Vishak Gopal +1

Current state-of-the-art video quality models, such as VMAF, give excellent prediction results by comparing the degraded video with its reference video. However, they do not consid…

cs.SD2023

ICASSP 2023 Deep Noise Suppression Challenge

Harishchandra Dubey, Ashkan Aazami, Vishak Gopal +9

Deep Speech Enhancement Challenge is the 5th edition of deep noise suppression (DNS) challenges organized at ICASSP 2023 Signal Processing Grand Challenges. DNS challenges were org…