ASR, diarisation and acoustic analysis

Turn speech, sound and acoustic signals into usable evidence.

Speech recognition, speaker-aware transcription and acoustic intelligence for meetings, lectures, calls, machinery and scientific audio workflows.

Discuss This Engineering Problem
Layered audio waveform and data visualisation representing acoustic intelligence
Layered audio waveform and data visualisation representing acoustic intelligence

The operating challenge

Where the current system loses evidence or control.

Audio contains operational context that is difficult to search, measure or act on. Speech systems also degrade under noise, specialist vocabulary, overlapping speakers and regional language patterns.

Our engineering approach

The complete system—not an isolated model.

We engineer acquisition, enhancement, speech recognition, speaker attribution, acoustic feature extraction, evaluation and downstream workflows as one system, with metrics matched to the intended environment.

Engineering sequence

From raw evidence to an accountable decision.

  • •Capture and enhance audio
  • •Recognise speech or events
  • •Attribute speakers and time
  • •Structure, evaluate and integrate

Signal intelligence

Input

Sensors

Acquire

Time domain

Interpret

FFT / STFT

Operate

Condition decision

Measure. Transform. Interpret. Act.

Applications

Where this capability becomes useful.

  • •Real-time and batch speech-to-text
  • •Speaker-aware meeting and lecture transcription
  • •Call transcription, subtitles and recording archives
  • •Motor, pump, compressor and generator monitoring
  • •Leak, cavitation, alarm and acoustic-event detection
  • •Scientific audio and bioacoustic classification

Capability focus

Automatic speech recognition

Speech-to-text quality is evaluated for the language, vocabulary, noise and latency requirements of the intended workflow—not from a clean demonstration recording alone.

  • •Speaker diarisation
  • •Word-level timestamps
  • •Confidence scoring
  • •Domain and regional vocabulary
  • •Noisy-environment recognition
  • •Multilingual workflows
  • •Word error rate
  • •Speaker-attribution and domain-term accuracy

Capability focus

Meeting and lecture intelligence

Speaker-aware transcripts can become structured minutes, chapters and searchable institutional knowledge while remaining grounded in the source recording.

  • •Meeting minutes and lecture notes
  • •Topics, chapters and questions
  • •Decisions and action items
  • •Speaker timelines
  • •Transcript-grounded question answering
  • •Shared notes and knowledge export

Capability focus

Audio and acoustic intelligence

Non-speech audio can reveal events and changing equipment conditions. Systems may combine spectral features, learned representations and contextual operating data.

  • •Bearing and machinery acoustics
  • •Environmental sound classification
  • •Voice activity and audio indexing
  • •Speech enhancement and noise suppression
  • •Echo cancellation and call-quality monitoring
  • •Research systems for respiratory, heart or lung sounds

Responsible boundary

Health-related acoustic work is positioned as carefully validated research and decision support. It is not presented as a medical diagnosis without the required clinical and regulatory validation.

Connected environment

Built around existing systems.

  • Sentient Co-Lab
  • Meeting, call and lecture recordings
  • Microphones and edge devices
  • Knowledge, reporting and alert systems

Intended value

•

Searchable spoken knowledge

•

Structured meeting records

•

Earlier acoustic anomaly detection

•

Measured recognition quality

Sentient Co-LabSignal analysisPredictive maintenanceAll services

Start with the problem

Have a business, scientific or engineering problem worth solving?

Tell us where your organisation is losing time, visibility, reliability, quality or customer opportunity. We will determine the complete system required to improve it.

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Project enquiry

hello@sentientengineering.com.ng

Send an overview of your business problem, current process and expected outcome.

WhatsApp or phone

+234 707 351 2305

Speak directly with our team about your project, automation opportunity or AI system.

Location

Lagos, Nigeria

We work with businesses in Nigeria and across Africa, with remote delivery available for suitable projects.