Coqui-AI TTS Testing: Unit Test Framework for Text-to-Speech Components
The Coqui-AI/TTS repository implements a comprehensive unit testing strategy using the unittest framework in Python, with 64 test cases covering critical TTS functionality. The test suite validates core components like Japanese phonemization, text tokenization, speaker encoding, and specialized models including VITS and Overflow TTS. This structured approach to TTS testing ensures reliable text-to-speech processing across multiple languages and model architectures. Qodo Tests Hub provides developers with detailed insights into Coqui-AI/TTS's testing patterns, offering searchable access to real-world test implementations for TTS components. Through the platform, developers can explore how the project handles complex test scenarios like phoneme conversion, speaker encoding, and model training validation. This practical exposure to production-grade TTS unit tests helps teams implement robust testing practices in their own text-to-speech projects.
| Path | Test Type | Language | Description |
|---|---|---|---|
| tests/text_tests/test_phonemizer.py |
unit
|
python | This unittest test suite verifies the accuracy and functionality of multiple text phonemization implementations in the Coqui-AI TTS library. |
| tests/text_tests/test_text_cleaners.py |
unit
|
python | This Python unit test verifies text cleaning and normalization functions for time expressions, currency formats, and number expansion in the Coqui-AI TTS system. |
| tests/tts_tests/test_helpers.py |
unit
|
python | This PyTorch unit test verifies TTS helper functions for duration averaging, sequence masking, and path generation operations. |
| tests/tts_tests/test_overflow.py |
unit
|
python | This unittest test suite verifies the Overflow TTS model implementation including neural HMM components, encoder-decoder architecture, and model utilities in the Coqui-AI/TTS repository. |
| tests/tts_tests/test_tacotron2_d-vectors_train.py |
unit
|
python | This Python unit test verifies Tacotron2 TTS model training with d-vector speaker embeddings in Coqui-AI TTS framework. |
| tests/tts_tests/test_tacotron2_model.py |
unit
|
python | This unittest test suite verifies Tacotron2 model training, multi-speaker support, and style token integration in the TTS framework |
| tests/tts_tests/test_tacotron_layers.py |
unit
|
python | This unittest test suite verifies the shape transformations and functionality of Tacotron architecture components in the TTS system. |
| tests/tts_tests/test_tacotron_model.py |
unit
|
python | This unittest test suite verifies Tacotron model training functionality including multi-speaker support, GST, and Capacitron VAE implementations in the TTS framework. |
| tests/tts_tests/test_vits.py |
unit
|
python | This unittest test suite verifies the VITS model implementation including audio processing, training, inference and voice conversion capabilities in the Coqui TTS framework |
| tests/tts_tests/test_vits_multilingual_train-d_vectors.py |
unit
|
python | This Python unit test verifies VITS multilingual TTS model training and inference with d-vector speaker embeddings in Coqui-AI TTS. |