[ACL 2026 Main] Training, inference, and testing of the SAC speech codec model.
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Updated
Nov 1, 2025 - Python
[ACL 2026 Main] Training, inference, and testing of the SAC speech codec model.
Official code for paper:"Speaking Clearly: A Simplified Whisper-Based Codec for Low-Bitrate Speech Coding"
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…
[EMNLP 2026 Main] BiMTokenizer: Preserving Semantic-Acoustic Balance in Low-Bitrate Speech Tokenization via Bidirectional State-Space Modeling
LPC-based speech analysis and reconstruction using different predictor orders, excitation models, and spectral distortion analysis.
Speech reconstruction and compression with autoencoders
Assignment for "Sound Analysis Synthesis and Processing - Module 1" exam @ Politecnico di Milano
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