Lyra

Understand the meaning behind the music

Deep NLP analysis for lyric sentiment, themes, and emotional content, unlocking richer programming.

Overview

Lyra is Super Hi-Fi’s NLP engine for music. It analyzes lyrics at scale, extracting sentiment, themes, and emotional content — providing insight into what songs say in addition to how they sound.

Key Capabilities

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Sentiment scoring across multiple axes (joy, sadness, aggression, etc.)
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Theme and concept detection (love, rebellion, spirituality, etc.)
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Contextual alignment with sonic attributes for holistic analysis
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Tuned for music’s unique linguistic patterns
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Why It Matters

For streaming, recommendations, and AI, lyrics are an underutilized data source. Lyra enables experiences that understand the emotional core of songs, powering richer personalization and better contexts.

Technical Highlights

Proprietary lyric tokenization + sentiment models
Integration with Prism sonic attributes
Scalable API for real-time analysis
Contextual recommendations (“upbeat love songs”)
Sentiment-aware playlisting
Content safety and brand suitability checks
Feeding AI models with lyric-aware embeddings

Use Cases