/Bach-audio-super-resolution

Bach:The learning based model for audio super resolution

Bach-audio-super-resolution

Bach:The learning based model for audio super resolution

Paper List

Dictionary Learning

Joint dictionary training for bandwidth extension of speech signals
Audio super-resolution using analysis dictionary learning

Machine Learning

Blind bandwidth extension using K-means and Support Vector Regression.
Statistical Bandwidth Extension for Speech Synthesis Based on Gaussian Mixture Model with Sub-Band Basis Spectrum Model
GMM-based bandwidth extension using sub-band basis spectrum model.

NMF

Non-negative matrix completion for bandwidth extension: A convex optimization approach.

DNN

Audio super-resolution using concatenative resynthesis
WAVENET BASED LOW RATE SPEECH CODING

RNN

A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation.
Audio bandwidth extension using ensemble of recurrent neural networks

Envelop Estimation

Speech envelope estimation and voiceless consonant restoration for artificial bandwidth extension of narrow band speech.

Uncatelogued

Speech Bandwidth Extension Aided by Magnitude Spectrum Data Hiding
Artificial bandwidth extension using the constant Q transform.
A blind bandwidth extension method for audio signals based on phase space reconstruction
Blind bandwidth extension of audio signals based on harmonic mapping in phase space.

Evaluation

An Objective Evaluation Methodology for Blind Bandwidth Extension
Speech quality evaluation of artificial bandwidth extension: comparing subjective judgments and instrumental predictions

Book

Audio Bandwidth Extension Using Audio Super-Resolution