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/tts_tests/test_vits_train.py |
unit
|
python | This Python unit test verifies VITS model training, checkpoint management, and inference capabilities in the Coqui-TTS framework. |
| tests/tts_tests2/test_delightful_tts_emb_spk.py |
unit
|
python | This Python unit test verifies DelightfulTTS model training and inference with speaker embeddings in Coqui-TTS. |
| tests/tts_tests2/test_delightful_tts_train.py |
unit
|
python | This Python unit test verifies DelightfulTTS model training, checkpoint management, and inference functionality in the Coqui-AI TTS framework. |
| tests/tts_tests2/test_forward_tts.py |
unit
|
python | This PyTorch unit test verifies ForwardTTS model functionality including encoder output expansion and various model configurations with pitch and aligner features. |
| tests/tts_tests2/test_glow_tts.py |
unit
|
python | This unittest test suite verifies GlowTTS model functionality including initialization, training, inference and multi-speaker support in coqui-ai/TTS. |
| tests/tts_tests2/test_fast_pitch_train.py |
unit
|
python | This Python unit test verifies the FastPitch model training pipeline, configuration management, and inference capabilities in the Coqui-AI TTS framework. |
| tests/tts_tests2/test_fastspeech_2_speaker_emb_train.py |
unit
|
python | This Python unit test verifies FastSpeech 2 model training and inference with speaker embeddings in the Coqui TTS framework |
| tests/tts_tests2/test_fastspeech_2_train.py |
unit
|
python | This Python unit test verifies FastSpeech 2 model training, checkpointing, and inference functionality in the Coqui-AI TTS framework. |
| tests/tts_tests2/test_feed_forward_layers.py |
unit
|
python | This PyTorch unit test verifies the functionality of feed-forward encoder and decoder layers in the TTS system with various architectural configurations. |
| tests/tts_tests2/test_glow_tts_train.py |
unit
|
python | This Python unit test verifies the training pipeline and inference capabilities of the GlowTTS model in the Coqui-AI TTS framework. |