FreeDV
/
phasenn
mirror of https://github.com/drowe67/phasenn.git
1
0
Fork 0
Code Issues Releases Wiki Activity

updated README

master
David 2020-11-07 17:01:52 +10:30
parent 123213d16d
commit 6171230b92
1 changed files with 3 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@ -33,7 +33,7 @@ Quality similar to DSP based techniques (e.g. Hilbert Transforms, sampling LPC f
## Example ## Example
Here is the output from [phasenn_test11.py](phasenn_test11.py). The first plot is a series of (log) magnitude spectra of simulated speech frames. The voiced frames have two fairly sharp peaks (formants) beneath Fs/2 with structured phase consisting of linear and dispersive terms. Unvoiced frames have less sharp peaks above Fs/2, and random phases. Here is the output from [phasenn_test11.py](phasenn_test11.py). The first plot is a series of (log) magnitude spectra of **simulated** speech frames. The voiced frames have two fairly sharp peaks (formants) beneath Fs/2 with structured phase consisting of linear and dispersive terms. Unvoiced frames have less sharp peaks above Fs/2, and random phases.
![](example_mag.png "Magnitude Spectra") ![](example_mag.png "Magnitude Spectra")
![](example_phase.png "Phase Spectra") ![](example_phase.png "Phase Spectra")
@ -47,5 +47,7 @@ For unvoiced speech, we want the NN output (blue) to be random. They do not nee
## References ## References
[1] Wang et al, "Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis", 2019 [1] Wang et al, "Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis", 2019
[2] Engel et all, "DDSP: DIFFERENTIABLE DIGITAL SIGNAL PROCESSING", 2020 [2] Engel et all, "DDSP: DIFFERENTIABLE DIGITAL SIGNAL PROCESSING", 2020
[3] Liu et al, "Neural Homomorphic Vocoder", 2020 [3] Liu et al, "Neural Homomorphic Vocoder", 2020