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.eslintrc.js (435, 2023-08-22)
.pre-commit-config.yaml (3992, 2023-08-22)
LICENSE (1067, 2023-08-22)
package-lock.json (326616, 2023-08-22)
package.json (1052, 2023-08-22)
src/ (0, 2023-08-22)
src/config.ts (493, 2023-08-22)
src/countLines.ts (450, 2023-08-22)
src/exclude-list.txt (40913, 2023-08-22)
src/findVoice.ts (3386, 2023-08-22)
src/functools.ts (600, 2023-08-22)
src/helpers.ts (595, 2023-08-22)
src/reshaper.ts (1868, 2023-08-22)
src/run.ts (2573, 2023-08-22)
src/splitFile.ts (2406, 2023-08-22)
src/utils.ts (878, 2023-08-22)
tsconfig.json (1000, 2023-08-22)

# TTS Reader A preprocessing script for converting text to speech. Helps convert news articles into `.flac` files that you can listen to at your own convenience. The idea behind this tool is to have a TXT file where the user would put web pages in read mode and other text-based information separated by `...` or other separation string you specify. The script will read the data from the file, remove redundancy, adapt it for TTS and covert it to `.mp3` Previous implementations of the TTS Reader: - [python_tts](https://github.com/maxpatiiuk/python_tts/) - [TTS King](https://github.com/maxpatiiuk/tts_king/) Example output: ``` Fetching the source file Reshaping the text Reduced the number of lines from 126,527 (72,756 non-blank) down to 61,707 Done! Total time: 3s ``` ## Installation Install dependencies: ```sh npm install ``` ## Workflow 1. Create a big text file (articles from the web, a book, a document, etc) 2. Run this script to preprocess the file (see details on the processing done below) 3. Run a text-to-speech software on the final file (i.e. macOS's `say`) Example usage with macOS's `say`: ```sh # Generate an out.txt, out_2.txt, ... files based on processed input node --loader ts-node/esm/transpile-only src/run.ts --input ./in.txt --output ./out.txt # Go though each text file that hasn't yet been converted for f in out*.txt; do echo "Generating $f.flac" say -r 250 -o "$f.flac" --progress "$(cat $f)" rm "$f" done ``` To see all available options, run the main script with `--help` argument: ``` node --loader ts-node/esm/transpile-only src/run.ts --help ``` To see available `say` options, run `man say`. To see supported `say` file formats, run `say --file-format=\? --data-format=\?` ## Preprocessing steps 1. Strip HTML 2. Strip Emoji 3. Strip block listed lines (defined in [./src/exclude-list.txt](./src/exclude-list.txt)). Those currently consist of the spam lines of text I found commonly repeated in the websites I often visit. (i.e `Advertisement`, `RECOMMENDED VIDEOS FOR YOU`, and other trash) 4. Stip non-text lines (defined as lines that have more than 30% of non-English-letter characters). This strips out code, spam, math equations and other things that are not friendly with text-to-speech software. 5. Remove repeated lines. This is perhaps the most important one. It can dramatically reduce the size of the input file (by about 30%-50%) Why this is super cool: - If you accidentally pasted the same news article twice, this step will remove the duplicate - It will automatically remove all the commonly repeated lines like `Advertisement`, or footers from websites (i.e, Wired has a whole bunch of lines like`More Great WIRED Stories` at the end of each article) ## Finding Voices There is a helper script provided for finding the best voice among those available on your system. Note, this only works with macOS's `say` command. To see available options, run it with `--help` argument: ``` node --loader ts-node/esm/transpile-only src/findVoice.ts --help ``` Example call: ```sh node --loader ts-node/esm/transpile-only src/findVoice.ts --voices Ava Karen Samantha --speed 200 --text "Hi! Isn't it cool to have a computer talk to you?" ``` By default, `say` will use the voice you configured in your macOS settings. [Documentation](https://support.apple.com/guide/mac-help/change-spoken-content-settings-accessibility-spch638/mac) ## Finding spam lines It is desirable to strip spam lines (i.e `Advertisement`, `RECOMMENDED VIDEOS FOR YOU`, and other trash). To help with finding those, you can run the script with `--countPath` argument, like so: ```sh node --loader ts-node/esm/transpile-only src/run.ts --input ./in.txt --countPath ./counted.tsv ``` Then, you can add the discovered spam lines to `./src/exclude-list.txt`

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