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All Projects → danthelion → Doc2audiobook

danthelion / Doc2audiobook

Licence: mit
Convert text documents to high fidelity audio(books).

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python
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text-to-speech

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doc2audiobook.py

Extract text from a document (textract) and convert it into a natural sounding synthesised speech (Cloud Text-To-Speech), which is able to leverage Deepminds Wavenet models.

Example

Input Output

Available source formats (from textract)

  • .csv
  • .doc
  • .docx
  • .eml
  • .epub
  • .gif
  • .jpg and .jpeg
  • .json
  • .html and .htm
  • .mp3
  • .msg
  • .odt
  • .ogg
  • .pdf
  • .png
  • .pptx
  • .ps
  • .rtf
  • .tiff
  • .txt
  • .wav
  • .xlsx
  • .xls

Prerequisites

GCP

  1. Select or create a Google Cloud Platform project.
  2. Enable billing for your project.
  3. Enable the Cloud Text-to-Speech API.
  4. Setup Authentication using a Service Account.

Host Machine

  1. Docker
  2. /doc2audiobook/data/input: directory to hold all input files.
  3. /doc2audiobook/data/output: directory to store all output files.
  4. /doc2audiobook/.secrets/client_secret.json: GCP authentication token.

Build

git clone [email protected]:danthelion/doc2audiobook.git
cd doc2audiobook
docker build -t doc2audiobook .

Run

Make sure to put your documents in the folder that is mapped to /data before running!

List available voices

docker run \
-v /doc2audiobook/data:/data:rw \
-v /doc2audiobook/.secrets/client_secret.json:/.secrets/client_secret.json:ro \
doc2audiobook -list-voices

Convert all documents in the mapped input folder to audiobooks using the en-GB-Standard-C voice.

docker run \
-v /doc2audiobook/data:/data:rw \
-v /doc2audiobook/.secrets/client_secret.json:/.secrets/client_secret.json:ro \
doc2audiobook --voice en-GB-Standard-C

Convert a single document in the mapped input folder to an audiobook using the en-GB-Standard-C voice.

docker run \
-v /doc2audiobook/data:/data:rw \
-v /doc2audiobook/.secrets/client_secret.json:/.secrets/client_secret.json:ro \
doc2audiobook --voice en-GB-Standard-C --input test_input.txt
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