Simple GUI application to help record audio dictated from given text prompts, for use with training speech recognition or speech synthesis.
Given a text file containing prompts, this app will choose a random selection
and ordering of them, display them to be dictated by the user, and record the
dictation audio and metadata to a .wav file and recorder.tsv file
respectively. You can select a previous recording to play it back, delete it,
and/or re-record it.
Requirements:
- Python 3
- See
requirements.txtfor required packages - Cross platform: Windows, Linux, MacOS
git clone https://github.com/daanzu/speech-training-recorder.git
cd speech-training-recorder
mkdir ../audio_data
pip install -r requirements.txt
python3 recorder.py -p prompts/timit.txt
usage: recorder.py [-h] [-p PROMPTS_FILENAME] [-d SAVE_DIR] [-c PROMPTS_COUNT]
[-l PROMPT_LEN_SOFT_MAX] [-o]
Given a text file containing prompts, this app will choose a random selection
and ordering of them, display them to be dictated by the user, and record the
dictation audio and metadata to a `.wav` file and `recorder.tsv` file
respectively.
optional arguments:
-h, --help show this help message and exit
-p PROMPTS_FILENAME, --prompts_filename PROMPTS_FILENAME
file containing prompts to choose from
-d SAVE_DIR, --save_dir SAVE_DIR
where to save .wav & recorder.tsv files (default:
../audio_data)
-c PROMPTS_COUNT, --prompts_count PROMPTS_COUNT
number of prompts to select and display (default: 100)
-l PROMPT_LEN_SOFT_MAX, --prompt_len_soft_max PROMPT_LEN_SOFT_MAX
-o, --ordered present prompts in order, as opposed to random
(default: False)
See prompts/ directory for acceptable formats for prompt files: the simplest is rainbow_passage.txt.
- daanzu/kaldi_ag_training: Docker image and scripts for training finetuned or completely personal Kaldi speech models. Particularly for use with kaldi-active-grammar.