semvec/pypi-packages huggingface dataset:
nidhi-tts 4.2.4
A perfect Text To Speech TTS engine for tts tasks and variety of neural voices
Requires Python: >=3.10

Nidhi-TTS Pipeline
Nidhi-TTS Pipeline is a robust Python-based solution designed for real-time text-to-speech (TTS) processing, audio playback, and server interaction. This system integrates a custom audio pipeline, playback manager, and a TTS generator with API-based voice synthesis, providing seamless text-to-audio transformation and dynamic playback controls.

Features
Real-time TTS Processing: Converts text into speech using our best tts servers api...
Custom Audio Pipeline: Efficiently manages audio data with a binary file system for storage and playback.
Flexible Playback Control: Supports play, pause, resume, and stop actions with smooth transitions.
API Integration: Easily connects to a TTS server and supports API key-based authentication.
Keyboard Controls: Allows interactive playback management using keyboard inputs.
Dynamic Voice Selection: Customizable voice options to enhance user experience.