calpoly-csai / calpoly-csai/swanton
Speech-To-Text Module
- Dominant language
- Python
- Stars
- 3
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
## Objective
Explore offline Speech-To-Text (STT) libraries that will convert raw audio bytes to a string.
## Key Result
Create a function that will output a string from raw audio bytes input.
## Details
The function will take, as input, raw audio bytes. The properties of the audio is TBD. The raw audio bytes are then converted to a string by an offline/local STT library. Beyond memory, the priority should be a library that allows custom speech adaption. Speech adaption will allow some sort of user input (list of words, transcripts, etc) to disambiguate uncommon words.
When selecting the appropriate library, priorities are as follows:
1. Memory
2. Customizable speech understanding
3. Customizability of sound properties
4. Runtime
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