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/vc_tests/test_freevc.py |
unit
|
python | This unittest test suite verifies the FreeVC voice conversion model’s functionality including initialization, audio processing, and conversion capabilities in the Coqui-AI TTS framework. |
| tests/vocoder_tests/test_multiband_melgan_train.py |
unit
|
python | This Python unit test verifies the training workflow and checkpoint restoration functionality of the Multiband MelGAN vocoder model. |
| tests/vocoder_tests/test_vocoder_gan_datasets.py |
unit
|
python | This Python unit test verifies GAN vocoder dataset functionality including feature extraction, audio processing, and data loading mechanisms in the Coqui-TTS framework. |
| tests/tts_tests2/test_delightful_tts_d-vectors_train.py |
unit
|
python | This Python unit test verifies DelightfulTTS training and inference with d-vector speaker embeddings in Coqui-AI TTS. |
| tests/aux_tests/test_find_unique_phonemes.py |
unit
|
python | This unittest unit test verifies unique phoneme detection and processing functionality in the Coqui-TTS system using both eSpeak and non-eSpeak configurations. |
| tests/inference_tests/test_synthesize.py |
unit
|
python | This Python unit test verifies text-to-speech synthesis functionality through various CLI commands and model configurations in Coqui-AI TTS. |
| tests/aux_tests/test_extract_tts_spectrograms.py |
unit
|
python | This unittest test suite verifies spectrogram extraction functionality across multiple TTS model architectures in the Coqui-AI framework. |
| tests/aux_tests/test_numpy_transforms.py |
unit
|
python | This unittest test suite verifies NumPy-based audio transformation functions for spectral analysis and mel-spectrogram generation in the TTS library |
| tests/aux_tests/test_speaker_encoder.py |
unit
|
python | This unittest test suite verifies speaker encoder models and loss functions in the Coqui-AI TTS system. |
| tests/aux_tests/test_speaker_manager.py |
unit
|
python | This unittest test suite verifies speaker embedding computation and management functionality in the Coqui-AI TTS system |