Music AI

Description

Key Features

• Advanced Stem Separation: Isolate vocals, bass, drums, guitar, piano, strings, wind instruments, cinematic stems (dialogue, music, effects), and specific drum/guitar parts.
• Voice Transfer & Swapping: Alter voice timbre or dub languages using AI voice models, with options for private model training.
• Transcription & Alignment: Automatically transcribe lyrics and speech with word/syllable alignment, diarization, and auto language identification.
• Metadata & Classification: Extract musical metadata (chords, sections, mood, genre, instruments, vocal pitch) and classify audio content (AI music/voice detection, content ID).
• AI Mixing & Mastering: Utilize AI-driven tools for audio mixing, mastering, and spatial upmixing.
• Audio Enhancement & Effects: Apply effects like noise suppression, reverb, pitch shift, normalization, and dynamic limiting.
• Text-to-Speech Generation: Convert text input into audible speech.
• Content Identification & Localization: Identify audio content and provide tools for translation and localization in audio/video.
• Embeddable AI Models: Integrate features like live stem separation and advanced volume control directly into electronics.
• Developer Platform & API: Access AI modules via a platform designed for integration and building custom workflows.

Use Cases

• Separating audio tracks into stems for remixing or mastering.
• Creating instrumental backing tracks by removing vocals.
• Swapping voices in audio recordings for creative projects or dubbing.
• Transcribing lyrics from songs automatically.
• Generating speech transcripts from audio files.
• Identifying chords and song sections for music analysis or learning.
• Automatically tagging audio files with genre, mood, and instrument metadata.
• Mastering audio tracks using AI for improved clarity and depth.
• Identifying copyrighted music or specific audio content within larger files.
• Integrating live audio processing features into hardware devices.