learnByHear 0.1.1

Learn a new language by hearing it

Learn By Hearing - learn a new language by hearing it with text-to-speech

Learning a new language is much easier if you hear the same sentence in the new language and also a language you are familiar with.

That's what this package aims to help you do. You input a text file in the language you're familiar with (which contains a list of sentences in separate lines), and you get an audio file that has the audio in the first language and also the second language. Currently the languages supported are only those present in both argostranslate and piper.

This is essentially a wrapper running on top of three packages: * argostranslate for translation * piper for converting text to speech (TTS) * ffmpeg for combining the audio files

Documentation

Only tested for Ubuntu 22.04 environment, but this should work on all Linux systems.

Install using pip: pip install learnbyhear

Requires ffmpeg!

Considerations

• Argos Translate is a bit heavy (~5 GB) because of torch, so keep enough free space
• Installation may take some time since dependencies must be downloaded
• First usage of any particular model will download that model

Supported languages

• Argos Translate: https://github.com/argosopentech/argos-translate#supported-languages
• Piper: https://github.com/rhasspy/piper#voices

Voice models

Piper languages may have multiple models and also multiple speaking styles; check https://rhasspy.github.io/piper-samples/

Some models present in the above link are NOT available when installed through pip. So if you run into "RuntimeError: Number of .wav files in each dir is unequal", it is most likely a voice not found error, so just keep trying a different voice. In the meanwhile I will investigate further and raise a issue on piper GitHub if necessary.

Currently in learnByHear you can use multiple models as you wish but speakers are not yet supported (coming soon!)

Example usage

English to German (this is the default, outputs stored in tts/):

learnbyhear text_EN.txt 

English to German with multiple output models, 1 extra repetition (for each sentence you hear EN+DE+DE), 1 second silence padding, and a specific output directory

learnbyhear text_EN.txt --from_code en --to_code de --out_models de_DE-thorsten-high de_DE-thorsten_emotional-medium --in_model en_GB-alan-medium --repeats 1 --padding 1.0 --out_dir OUT_DIR/ 

List of models available on piper: https://rhasspy.github.io/piper-samples/ Please check this important note: https://gitlab.com/drohi/learnbyhear#voice-models