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/inference_tests/test_synthesizer.py |
unit
|
python | This unittest test suite verifies TTS synthesis and text preprocessing functionality in the Coqui-AI TTS system |
| tests/text_tests/test_korean_phonemizer.py |
unit
|
python | This unittest unit test verifies Korean text to phoneme conversion functionality in both Korean and English character sets. |
| tests/text_tests/test_punctuation.py |
unit
|
python | This unittest unit test verifies punctuation manipulation functionality in the TTS text processing system. |
| tests/text_tests/test_tokenizer.py |
unit
|
python | This unittest test suite verifies TTSTokenizer functionality for both grapheme and phoneme-based text processing in the Coqui-AI TTS system. |
| tests/tts_tests/test_neuralhmm_tts_train.py |
unit
|
python | This PyTorch unit test verifies the training and inference pipeline of Neural HMM TTS models in the Coqui-AI TTS framework. |
| tests/tts_tests/test_losses.py |
unit
|
python | This unittest test suite verifies the correct implementation and behavior of masked loss functions used in the Coqui-AI TTS system. |
| tests/tts_tests/test_speedy_speech_train.py |
unit
|
python | This Python unit test verifies SpeedySpeech TTS model training, checkpointing, and inference functionality in the Coqui-AI/TTS framework. |
| tests/tts_tests/test_overflow_train.py |
unit
|
python | This Python unit test verifies the training pipeline and inference capabilities of the Overflow TTS model in Coqui-AI/TTS. |
| tests/tts_tests/test_tacotron2_speaker_emb_train.py |
unit
|
python | This Python unit test verifies Tacotron2 speaker embedding training and inference functionality in the Coqui-AI TTS framework. |
| tests/tts_tests/test_tacotron_train.py |
unit
|
python | This Python unit test verifies Tacotron model training, checkpointing, and inference functionality in the Coqui-AI TTS framework. |