Work

Selected projects from the foundry floor

The stories below describe the kind of work AudioForge AI takes on. Clients are anonymised or clearly hypothetical. Metrics are illustrative past results, not guarantees of future performance. Every engagement followed our studio method: brief, neural voice casting, human-in-the-loop tempering, loudness mastering, and cleared-for-use delivery.

Client listening session at AudioForge AI reviewing tempered narration takes

Illustrative · Hardware

One voice across fourteen product videos

A Canadian hardware brand needed a single recognisable narrator across fourteen product videos — same warmth, same pause before specifications, same finish on trade-show loops and phone speakers. The brief called for text-to-speech exploration under tight brand guardrails, with prosody temper on every SKU name and a pronunciation pass for metric and imperial variants.

We cast a consent-based neural voice, ran three revision rounds per video batch, and applied loudness mastering for web and event playback. Human review caught a clipped consonant on one model number that automated QA missed. Usage rights covered North America for two years. The client received WAV and MP3 masters plus a voice system note for future spots. Outcomes depended on script stability; this describes our approach, not a promise of identical results for your brief.

Mastering desk at AudioForge AI during final loudness sign-off

Illustrative · E-learning

Bilingual narration for an Ontario publisher

An Ontario e-learning publisher required English and French narration for a twelve-module course — technical vocabulary, accented proper nouns, and a hero character whose name spelling shifted mid-script. Localization needed intonation that felt native in both languages without doubling session costs.

We built pronunciation sheets from speech-to-text review, cast matched neural voices per language, and ran dubbing workflows with human directors on emphasis and pacing. Audio QA listens on headphones and laptop speakers caught thin sibilance on one module. Denoising and restoration cleaned room tone from reference clips the client supplied with documented consent. Deliverables shipped with per-language usage rights. Timeline was five business days per language batch after casting approval — illustrative, not a standard we guarantee for every scope.

Illustrative · Broadcast

Station idents for a Toronto broadcaster

A Toronto broadcaster needed three-second station idents that had to land immediately and survive car dashboards without losing body. The sonic identity had to align with an existing brand voice used in longer promos — same audio branding DNA, compressed timing, broadcast loudness spec.

We extracted prosody references from cleared archive spots, cast a neural voice lane that matched the brand's mid-register warmth, and tempered reads until the ident felt struck rather than rushed. Sound design elements were mixed under the voice with mastering to -24 LUFS for broadcast. Two revision rounds refined the attack on the opening syllable. Human review flagged phase issues on one export that a waveform-only check missed. This project illustrates our finishing craft; it is not a named client partnership or a metrics guarantee.

Illustrative · Product

In-app voice prompts for a national fintech

A Canadian fintech needed calm, authoritative in-app voice prompts — onboarding steps, security alerts, and confirmation tones — without hiring a new voice actor for every copy change. The sonic identity had to feel trustworthy on phone speakers and smart displays.

We designed a consent-based brand voice system with on-brand variations for alert versus instructional contexts. Text-to-speech batches ran under guardrails; pronunciation passes covered product names and regulatory phrases. Audio generation outputs were never shipped without human-in-the-loop review. The client received a retainer roadmap for quarterly copy updates. Measured outcomes were production milestones — not user adoption or revenue figures.

Disclaimer

Case studies on this page are illustrative descriptions of work types AudioForge AI undertakes. They do not represent guaranteed outcomes, indistinguishable voice clones, or specific ROI. AI voice and audio models require human review; results depend on script, references, scope and use. Cast a voice brief to discuss your project.