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Neil Scheidwasser-Clow

2 accepted papers

2023

Efficient Speech Quality Assessment Using Self-Supervised Framewise Embeddings

ICASSP 2023accepted

Automatic speech quality assessment is essential for audio researchers, developers, speech and language pathologists, and system quality engineers. The current state-of-the-art systems are based on framewise speech features (hand-engineered or learnable) combined with time dependency modeling. This…

Cited by 0SourceScholar
2022

SERAB: A Multi-Lingual Benchmark for Speech Emotion Recognition

ICASSP 2022accepted

Recent developments in speech emotion recognition (SER) often leverage deep neural networks (DNNs). Comparing and benchmarking different DNN models can often be tedious due to the use of different datasets and evaluation protocols. To facilitate the process, here, we present the Speech Emotion Recog…

Cited by 0SourceScholar