Case StudyVoice AI, Audio Processing, APIs

AI Voice Synthesis Engine

AI Voice Synthesis Engine

High-Throughput Neural Audio Generation Platform

A media technology company required an AI voice synthesis platform capable of generating personalised audio content at scale for enterprise clients across broadcast, e-learning, and customer communications sectors.

Digizal built a neural text-to-speech engine with speaker adaptation capabilities, low-latency streaming APIs, and an intuitive web interface for non-technical production teams.


  • Capability: Neural Text-to-Speech • Speaker Adaptation • High-Throughput APIs • Audio Processing
  • Engagement Model: Specialised AI Product Engineering
  • Delivery Model: London (UK) • API-first platform • Cloud-native audio streaming
  • Delivery Structure: Phased delivery (Model validation → Core engine → Enterprise API)

Delivery Scope

The delivery focused on developing neural voice synthesis pipelines, building custom speaker adaptation models, and exposing low-latency REST and WebSocket streaming APIs for enterprise integration.

  • Check SVG IconNeural text-to-speech engine with multilingual synthesis capabilities
  • Check SVG IconFew-shot speaker adaptation and custom voice profile creation
  • Check SVG IconReal-time streaming audio API (WebSocket & chunked HTTP transfer)
  • Check SVG IconWeb-based audio workstation for script management and batch generation
  • Check SVG IconAudio quality evaluation benchmarks using standard MOS testing
  • Check SVG IconVoice synthesis rights management, watermarking, and abuse prevention
  • Check SVG IconAutomated GPU inference scaling and low-latency buffer management
  • Check SVG IconDeveloper documentation, SDKs, and integration runbooks

Outcomes & Operational Impact

Audio production costs were reduced by 70% for pilot clients, with turnaround time collapsing from days to minutes. The platform processed over 15,000 voice generation requests per month within 60 days of launch.

Following the successful pilot programme, three major enterprise clients signed multi-year contracts, validating the platform commercial scalability and audio quality.

Key outcomes: Key outcomes include 70% reduction in audio production costs, turnaround time reduced from days to minutes, over 15,000 monthly generation requests, and three multi-year enterprise contracts.

Related Enterprise Initiatives

DELIVERY INSIGHTS

Engagement & Governance Details

Digizal Intelligence Platform

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