neonbjb/tortoise-tts

Features

• Synthetic Speech Generation - Generates high-quality synthetic speech with natural prosody and human-like intonation from text input.
• Text-to-Speech - Synthesizes high-fidelity, natural-sounding human speech from written text with human-like intonation.
• Autoregressive Transformers - Uses autoregressive transformer architectures to maintain natural prosody and speech rhythms during audio token prediction.
• Voice Conditioning Encoders - Uses voice conditioning encoders to map speaker characteristics into vectors that guide the synthesis process.
• Latent Diffusion Models - Employs latent diffusion models to iteratively denoise representations into high-fidelity audio waveforms.
• Zero-Shot Voice Cloning - Generates speech for unseen speakers using reference samples without requiring additional model training.
• Speech Synthesis - Implements a high-fidelity speech synthesis engine capable of generating audio using multiple distinct voice profiles.
• Multi-Stage Synthesis Pipelines - Processes text through a sequence of neural models to convert characters into phonemes and then raw audio.
• Voice Cloning - Replicates specific human vocal characteristics using conditioning latents and reference audio samples.
• Voice Cloning Toolkits - Provides a toolkit for replicating human vocal characteristics using reference audio clips and latent representations.
• Synthetic Voice Design - Generating unique vocal identities or blending multiple voice profiles to create hybrid synthetic speakers.
• Audio Feature Extraction - Extracts unique acoustic fingerprints and vocal characteristics from short reference audio samples.
• Voice Index Generators - Extracts speaker-specific acoustic fingerprints from audio clips as mathematical representations for consistent reuse.
• Long-Form Audio Generation - Processes large text files by breaking them into segments and merging them into continuous audio files.
• Long-Form Synthesis Pipelines - Processes large text files by splitting them into sentences and merging generated audio clips into a continuous file.
• Linguistic Text Segmentation - Segments long documents into smaller linguistic units to manage memory and maintain consistency across audio clips.
• Synthetic Voice Generators - Generates unique synthetic vocal identities that do not correspond to any real-world speaker.
• Hybrid Voice Synthesis - Implements hybrid voice synthesis by averaging multiple speaker latent vectors to create unique synthetic identities.
• Multi-Voice Synthesis Engines - Produces diverse synthetic identities and provides the capability to blend multiple voice profiles.
• Emotional Modulation - Allows for the active modulation of emotional intensity and tone in synthetic speech via text prompts.
• Generative Audio Pipelines - Implements a workflow for processing long-form text into merged audio files via sentence splitting and decoding.
• Audio and Voice Synthesis - High-quality multi-voice text-to-speech system.
• Audio Generation and Processing - High-quality multi-voice text-to-speech synthesis system.
• Speech Processing - Multi-voice text-to-speech system focused on high quality.

Star history