Revolutionary Higgs Audio V2 - AI-Powered Audio Understanding and Generation
Emotional Similarity
vs ElevenLabs 65.9
Training Hours
Audio-Text Dataset
Win Rate
vs Leading TTS
Model Parameters
Optimized Architecture
Response Time
Real-time Generation
Naturalness Score
Human-like Quality
Word Error Rate
Industry Leading
Accuracy Rate
Speech Recognition
Languages
Multilingual Support
Generation Speed
Per Second of Audio
Higgs Audio is a groundbreaking project by Boson AI that delivers advanced audio understanding and highly expressive audio generation. This dual capability enables AI agents that can listen with contextual awareness and speak with human-level nuance.
AI that listens and comprehends
AI that speaks with emotion
Revolutionary approach enabling step-by-step reasoning on audio input. Higgs Audio can break down complex audio tasks, count occurrences, infer speaker mood, and apply external knowledge for contextual interpretation.
Advanced speaker separation capabilities that can identify multiple speakers in conversations, detect emotional states from voice tone, and understand contextual background information.
Achieves top accuracy on LibriSpeech and Common Voice benchmarks. Outperforms Alibaba's Qwen-Audio, OpenAI's GPT-4o-audio, and Google's Gemini-2.0 Flash on comprehensive evaluations.
Comprehensive support for multiple languages with high accuracy transcription and understanding across diverse linguistic contexts and cultural nuances.
Advanced LLM-driven TTS that adjusts tone and emotion based on semantic context. Produces speech that matches intended sentiment - excitement, sadness, sarcasm - making interactions more engaging and lifelike.
Generate realistic conversations with distinct voices for different characters. Features proper turn-taking, natural interruptions, and speaker-specific traits perfect for audiobooks and interactive storytelling.
Correctly pronounces unusual names, foreign words, and technical jargon. Adapts accent and speaking style for global scenarios, eliminating common TTS mispronunciations through language understanding.
Fast speech synthesis suitable for interactive applications. Responds to dynamic conversational context in real-time, perfect for live voice assistants and customer support bots.
5B Parameters
Optimized transformer architecture with advanced audio processing capabilities
10M+ Hours
Comprehensive audio-text paired dataset for multimodal understanding
150ms
Ultra-fast inference for real-time applications and interactive use cases
99.2%
Industry-leading speech recognition accuracy across multiple languages
50+ Languages
Extensive multilingual capabilities with native-level pronunciation
0.8s/sec
High-speed audio generation - faster than real-time processing
Word Error Rate
Industry Leading
Naturalness Score
Human-like Quality
Emotional Similarity
vs ElevenLabs 65.9
Win Rate
vs Leading TTS
Deploy virtual agents for customer calls with high-accuracy transcription, sentiment detection, and empathetic responses.
Create multi-voice narrations, audiobooks, and educational content without needing multiple voice actors.
Analyze large volumes of audio for compliance monitoring, insight extraction, and automated reporting.
Higgs Audio uses a Large Language Model at its core, enabling semantic understanding and contextual speech generation. This results in emotionally nuanced speech that matches the intended sentiment, unlike traditional flat TTS systems.
Higgs Audio can generate realistic multi-speaker dialogues with distinct voices, proper turn-taking, natural interruptions, and speaker-specific characteristics, making it ideal for audiobooks and interactive storytelling.
Chain-of-Thought reasoning allows Higgs Audio to break down complex audio tasks step-by-step, enabling advanced capabilities like counting word occurrences, inferring speaker emotions, and applying contextual knowledge for better understanding.
Higgs Audio achieves state-of-the-art results on benchmarks like LibriSpeech and Common Voice. It scored 82.8 on emotional similarity vs ElevenLabs' 65.9, and wins ~62% of head-to-head comparisons against leading TTS systems.
Yes, Higgs Audio generates speech quickly enough for interactive applications and can respond to dynamic conversational context in real-time, making it suitable for live voice assistants and customer support systems.
Higgs Audio provides comprehensive multilingual support with high accuracy across diverse linguistic contexts. It can handle foreign pronunciations, adapt accents, and even perform real-time voice translation between languages.
Higgs Audio supports zero-shot voice cloning through in-context learning. You can provide a short voice sample, and the model will generate speech in that voice without requiring model retraining.
Higgs Audio V2 runs with approximately 5 billion parameters, requiring modern GPU infrastructure. Boson AI provides a high-throughput inference server using vLLM for practical deployment scenarios.
Yes, Higgs Audio V2 has been open-sourced by Boson AI, including code, sample notebooks, API server integration, and demonstration examples available on GitHub for developers and researchers.
Key industries include customer service, media and entertainment, education, healthcare, finance, and legal sectors - anywhere that requires natural voice interactions, audio analysis, or content creation with human-like quality.