whereismyai
FireRedAudio
FireRedAudio is an audio language model that processes, understands, reasons, speaks, and edits audio recordings.
FireRedAudio is a general-purpose audio language model built on a shared 9B-parameter LLM with decoupled continuous representations. An Audio Encoder handles understanding while a RedAE pathway handles generation. It supports ASR, audio understanding, zero-shot TTS, instruct TTS, semantic and acoustic speech editing, and temporal grounding over recordings up to one hour long. The model is designed for developers and researchers working with speech and audio processing tasks. It offers Python APIs, command-line inference, and a Gradio web demo for interactive testing across all supported tasks.
FireRedAudio at a glance
- Best for: Software engineer, Researcher
- Runs on: Web, CLI, API, self-hosted, open source
- Pricing: Free
- Released: August 2026
- Category: AI audio tool
- Website: github.com/fireredteam/fireredaudio
Key features
- Audio understanding and reasoning
- Automatic speech recognition
- Zero-shot text-to-speech
- Instruct text-to-speech
- Semantic and acoustic speech editing
- Temporal grounding for hour-long recordings
- Voice cloning from reference clips
Use it for
- Transcribe spoken audio to text
- Generate speech from text prompts
- Clone voices using reference clips
- Edit speech content and style
- Analyze and summarize long audio recordings
Alternatives to FireRedAudio
- FireRedTTS3 — It offers zero-shot voice cloning across 24 languages and 21 Chinese dialects.
- AssemblyAI — Industry-leading speech models deliver high accuracy and low latency for voice applications.
- FluidAudio — Runs local audio AI models on Apple Neural Engine.
- ESPnet — Provides reproducible recipes and hundreds of pretrained models for various speech tasks.
- AuK — It handles zero-shot TTS, editing, and enhancement via natural language.
- Pipecat — Builds real-time voice and multimodal agents with frame-level control.
- Piper — Runs locally and offers fast neural text-to-speech synthesis.
- kokoro-onnx — Runs local TTS inference with efficient ONNX runtime performance.
- FunASR — It supports offline, streaming, and edge deployment with multiple models.
- WhisperX — It enables 70x faster, batched transcription with high-accuracy alignment.
- Free ASR — Zero-dependency real-time streaming speech-to-text with no account login required.
- SpeechBrain — It offers over 200 training recipes and direct HuggingFace integration.
All FireRedAudio alternatives