Voice in. Insight out. Action triggered.
Transcription, speaker identification, voice assistants, and audio analytics — for call centres, clinical documentation, media, and accessibility applications.
Speech and audio AI converts the most human form of communication — spoken language and sound — into structured data that systems can process. Modern ASR systems exceed human-level transcription accuracy in controlled conditions. The hard problems are domain vocabulary, accented speech, noisy environments, and connecting transcription to downstream action. We build production speech pipelines that handle these edge cases rather than pretending they don't exist.
97%+
WER accuracy on clean speech with domain adaptation
50%
reduction in clinical documentation time with AI transcription
3×
call centre agent capacity increase with AI assist
What's included
Services within Speech & Audio AI
Each is a scoped engagement. Tell us which one fits your situation — or book a call and we'll scope it together.
Speech Recognition (ASR)
Domain-adapted automatic speech recognition for medical, legal, financial, and technical vocabulary — with custom language model adaptation, punctuation restoration, and inverse text normalisation.
Text-to-Speech (TTS)
Neural TTS voice production with prosody control, SSML support, and custom voice persona creation — for IVR systems, accessibility tools, and content production pipelines.
Speaker Diarisation
Multi-speaker segmentation and labelling for call recordings, meeting transcripts, and interview audio — 'who spoke when' with speaker embedding clustering.
Voice Cloning
Few-shot voice cloning from 3–30 minutes of audio, for personalised TTS, content localisation, and corporate voice branding — with consent and provenance controls.
Audio Classification
Environmental sound classification, machinery fault acoustic detection, music genre tagging, and call intent classification — using spectral feature extraction and CNN-based classifiers.
Noise Cancellation & Audio Enhancement
Real-time and batch noise suppression, echo cancellation, and audio quality enhancement for communication platforms, recordings, and broadcast applications.
Music AI
Music generation, separation (vocal/instrument splitting), and recommendation systems for media, gaming, and entertainment applications.
The problem
Why speech AI fails in real environments
These aren't edge cases — they're what we hear on almost every discovery call. If any of them sound familiar, this is likely the right place to start.
Generic ASR systems fail on industry jargon, product names, and accented speech — domain adaptation is essential, not optional
Speaker diarisation (who said what) requires separate engineering from transcription — most vendors conflate them
Noisy environments (factory floors, field recordings, call centres) degrade accuracy dramatically without noise preprocessing
Real-time vs. batch transcription have completely different infrastructure requirements — confusing them inflates cost
Voice cloning and TTS quality degrades without sufficient voice sample data — quality gates are needed before synthesis
Who it's for
This is the right fit if…
These systems work best for organisations at a specific point — where the problem is real, the data exists, and generic tools have already proved insufficient.
Call centres and contact centres transcribing and analysing thousands of conversations daily
Healthcare providers needing ambient clinical documentation without manual note-taking
Media companies processing interview recordings, podcasts, or broadcast content
Legal and financial services firms maintaining auditable conversation records
Accessibility teams building voice-first interfaces for users with motor impairments
Common questions
What people ask before they book
Not sure where to start?
Talk it through on a free call.
We'll help you figure out which of these fits your situation — no pressure, no obligation.
Book a Free 30-Min Call