Language: Python (3.8+)

Deep Learning Framework: PyTorch (2.0+)

TTS-Specific Libraries:
phonemizer: Text-to-phoneme conversion

pypinyin: Chinese phoneme conversion (optional)

NLTK or spaCy: Text normalization

torchaudio: Spectrogram generation, waveform synthesis

librosa: Audio analysis, spectrogram creation

soundfile: Audio file handling

Coqui TTS: Pre-built TTS models (e.g., Tacotron 2, HiFi-GAN)

ESPnet: Research-oriented TTS models

Parallel WaveGAN: Lightweight vocoder

Visualization/Debugging:
matplotlib: Spectrogram visualization

TensorBoard: Training metrics

Environment Tools:
pip or conda: Package management

Git: Repository access

Jupyter Notebook: Prototyping