Case Studies
Model Training
Create usable structured data from audio. Companies aiming to train custom models or generate high-quality datasets from their content can leverage AudioShake’s best-in-class stem separation technology to isolate individual audio components—such as dialogue, music, and effects—from existing recordings. AudioShake can train custom models based on your dataset, allowing you to leverage your content for a wide range of applications–from music, tv and film production, through to voice synthesis, speech workflows, and more.
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Bringing Maria Callas’ Voice to Life
A/V Editing
A/V Editing
Mixing

Restoring Communication for ALS Patients
Audio Analysis
Audio Analysis

Multi-Speaker Podcast Editing
A/V Editing
A/V Editing
Audio Analysis

Kaiber Superstudio adds stems
A/V Editing
A/V Editing

Fans "play along" with Green Day
Engagement
Fan Engagement

The making of SZA's "Forgiveless"
Mixing
Mixing
A/V Editing

Localized lyric videos for Lala Sadii
Lyrics
Fan Engagement
Lyric Transcription

Real-time stems available on DJ app
Mixing
Mixing
Developer

Localized lyrics for Sia’s “Gimme Love”
Engagement
Lyric Transcription
Fan Engagement
Localization

Breaking down AJR’s “Yes I’m a Mess”
Engagement
Fan Engagement

Sync deal for "Amsterdam"
Sync
Sync Licensing

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