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import gradio as gr
import numpy as np
from robot_voice.change_to_robot_voice import RobotVoice
from config_folder.config import run_config
def convert_to_robot_voice(audio_path, VB, VL, H, LOOKUP_SAMPLES, MOD_F):
# Run Config
# _, _, _, _, VB, VL, H, LOOKUP_SAMPLES, MOD_F, _, _ = run_config()
# Create Robot Voice Object
rv_obj = RobotVoice(vb=VB, vl=VL, h=H, lookup_samples=LOOKUP_SAMPLES, mod_f=MOD_F)
# Run
robot_voice_arr, sr = rv_obj.run(input_func=audio_path, output_func=None, use_record=False, save_to_file=False)
return sr, robot_voice_arr
demo = gr.Blocks()
with demo:
gr.Markdown(
"""
# Human voice to Robot Voice
- This project is based on the paper "A Simple Digital Model of the Diode-Based Ring-Modulator," which can be found at http://recherche.ircam.fr/pub/dafx11/Papers/66_e.pdf.
- This project builds upon the excellent work of [Neil Lakin/robot_voice](https://github.com/nrlakin/robot_voice) on his **robot_voice** project. Please follow my GitHub repository - [Voice-Human2Robot](https://github.com/danhtran8mind/voice-human2robot) to get more features.
- Here is decription of parameters.
| Parameter | Default Value | Description |
|---|---|---|
| `VB` | 0.2 | Controls the volume of the **bright** part of the speech. Higher values result in a shorter voice that might be difficult to hear clearly. |
| `VL` | 0.4 | Controls the volume of the **low** part of the speech. Higher values result in a shorter voice that might be difficult to hear clearly. |
| `H` | 4 | Controls the slope of the linear section of the diode model's response, which kicks in after the voltage exceeds `VL`. |
| `LOOKUP_SAMPLES` | 1024 | Determines the size of the **lookup table** used for sound synthesis. Lower values can introduce noise. |
| `MOD_F` | 50 | Controls the **modulation frequency**, which influences the "robotic" effect. Higher values produce a more robotic sound. |
**NOTE:** `VB` and `VL` are NOT the same value.
"""
)
with gr.Row():
audio_path = gr.Audio(type="filepath", label="Input Human Voice")
vb = gr.Slider(0.1, 0.95, value=0.4, step=0.05, label='VB')
vl = gr.Slider(0.1, 0.95, value=0.2,step=0.05, label='VL')
h = gr.Slider(1, 10, value=4, step=1, label='H')
look_samples = gr.Slider(256, 2560, value=1024, step=256, label='LOOKUP SAMPLES')
mod_f = gr.Slider(1, 100, value=50, step=1, label='MOD F')
output = gr.Audio(label="Output Robot Voice")
btn = gr.Button(value="Run")
btn.click(convert_to_robot_voice, [audio_path, vb, vl, h, look_samples, mod_f], output)
demo.launch() |