Waveform based speech coding using nonlinear predictive techniques: a systematic review
Speech coding is a technique that compresses speech signals into a smaller digital form,
making it easier to transmit or store, while still maintaining the quality and intelligibility of the …
making it easier to transmit or store, while still maintaining the quality and intelligibility of the …
Latent-domain predictive neural speech coding
Neural audio/speech coding has recently demonstrated its capability to deliver high quality
at much lower bitrates than traditional methods. However, existing neural audio/speech …
at much lower bitrates than traditional methods. However, existing neural audio/speech …
Sub-8-bit quantization for on-device speech recognition: A regularization-free approach
For on-device automatic speech recognition (ASR), quantization aware training (QAT) is
ubiquitous to achieve the trade-off between model predictive performance and efficiency …
ubiquitous to achieve the trade-off between model predictive performance and efficiency …
Disentangled feature learning for real-time neural speech coding
Recently end-to-end neural audio/speech coding has shown its great potential to outperform
traditional signal analysis based audio codecs. This is mostly achieved by following the VQ …
traditional signal analysis based audio codecs. This is mostly achieved by following the VQ …
Neural feature predictor and discriminative residual coding for low-bitrate speech coding
Low and ultra-low-bitrate neural speech codecs achieved unprecedented coding gain by
generating speech signals from compact features. This paper introduces additional coding …
generating speech signals from compact features. This paper introduces additional coding …
End-to-end neural audio coding in the mdct domain
Modern deep neural network (DNN)-based audio coding approaches utilize complicated
non-linear functions (eg, convolutional neural networks and non-linear activations), which …
non-linear functions (eg, convolutional neural networks and non-linear activations), which …
Gull: A Generative Multifunctional Audio Codec
We introduce Gull, a generative multifunctional audio codec. Gull is a general purpose
neural audio compression and decompression model which can be applied to a wide range …
neural audio compression and decompression model which can be applied to a wide range …
Alias-and-separate: Wideband speech coding using sub-Nyquist sampling and speech separation
Decimation of a discrete-time signal below the Nyquist rate without applying an appropriate
lowpass filter results in a distortion called aliasing. If wideband speech sampled at 16 kHz is …
lowpass filter results in a distortion called aliasing. If wideband speech sampled at 16 kHz is …
Simple and Efficient Quantization Techniques for Neural Speech Coding
Neural audio coding has emerged as a vivid research direction by promising good audio
quality at very low bitrates unachievable by classical coding techniques. Here, end-to-end …
quality at very low bitrates unachievable by classical coding techniques. Here, end-to-end …
Highly efficient audio coding with blind spectral recovery based on machine learning
JW Kim, SK Beack, W Lim… - IEEE Signal Processing …, 2022 - ieeexplore.ieee.org
This letter proposes a new method for audio coding that utilizes blind spectral recovery to
improve the coding efficiency without compromising performance. The proposed method …
improve the coding efficiency without compromising performance. The proposed method …