# embedded_speech

**Repository Path**: qq2524/embedded_speech

## Basic Information

- **Project Name**: embedded_speech
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-12-04
- **Last Updated**: 2025-12-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# A simple LPC speech encoder

Uses [Praat](https://www.fon.hum.uva.nl/praat/) to get
LPC coefficients and convert them to C structures/arrays.
The output data is small enough and the decoding is simple
enough to be performed even on small embedded platforms.

1. Run the Python conversion script.

   ```
   python3 generate.py
   ```

   The output will be two files: `lpc_data.c` and `lpc_data.h`.
   The generated phrases/words are in the `data` list, in the
   `generate.py` script.

2. Build the example decoder application:

   ```
   cd decoder
   mkdir build
   cd build
   cmake ..
   make
   ```

3. Run the application:

   ```
   ./decoder_test | play -r 16000 -c 1 -b 16 -t s16 -
   ```
   or
   ```
   ./decoder_test | sox -r 16000 -c 1 -t s16 - out.wav
   ```
   to export to .wav file