Fully vector-quantized neural network-based code-excited nonlinear predictive speech coding

By Lizhong Wu, Mahesan Niranjan, F. Fallside. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Srihari Kankanahalli
2. Yi-Chiao Wu
3. Israel Dejene Gebru
4. Dejan Markovic
5. Alexandros Lazaridis
6. Alexander Richard
7. Afsaneh Asaei
8. Milos Cernak

Citations in the corpus

• Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec (2023, background): “Wu et al. [13]. proposed a neural predictive speech coder with coded excitation inputs.”
• End-To-End Optimized Speech Coding with Deep Neural Networks (2017, methodology): “[5] used an ANN as part of a predictive speech coder; and Cernak et al.”
• Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding (2016, methodology): “The parametric methods Authors are with Idiap Research Institute, Centre du Parc, Rue Marconi 19, 1920 Martigny, Switzerland, contact details: http://people.idiap.ch/mcernak. benefit from better adaptation properties and lower footprint.”