Audio and audio-visual datasets for multimodal AI and real-world evaluation
FYI Africa collects audio and video datasets where sound, behaviour, interaction context and visual environment matter.
Some AI systems need more than a clean audio file
They need the context around how people speak, respond, interact, move through tasks and use products in real-world environments.
FYI Africa collects audio and audio-visual datasets that capture both spoken content and surrounding context.
Audio context
Human voice, background sound, speaker behaviour, device conditions and real-world acoustic environments.
Visual context
Task behaviour, product interaction, user response, video presence and surrounding visual environment.
Multimodal value
Datasets that combine speech, audio, video, transcript, labels, metadata, consent and QC outputs.
Usable delivery
Structured files, metadata and reporting aligned to the client’s technical and quality requirements.
Audio and audio-visual collection types
FYI Africa can collect data in controlled, semi-controlled, mobile, remote, supervised and real-world collection environments depending on the project specification.
Audio dataset examples
- Human voice recordings
- Multi-speaker audio
- Interviews
- Group discussions
- Task-based audio
- Noisy-environment recordings
- Mobile-device recordings
- Ambient recordings where appropriate and consented
Audio-visual dataset examples
- Video interviews
- Speaker videos paired with audio
- Product interaction recordings
- Customer service simulations
- User experience research recordings
- Instruction-following tasks
- Screen-and-camera recordings
- Multilingual video responses
- Code-switching video responses
- Mobile-device video recordings
Built for multimodal AI, research and real-world testing
Multimodal AI
Datasets that combine speech, sound, video, transcript, metadata and labels for multimodal model development and evaluation.
Speech-plus-video testing
Video-paired speech data for evaluating how systems handle both spoken content and visual context.
User experience research
Recordings of users completing tasks, interacting with products or responding to prompts in African contexts.
Localisation testing
Audio and video recordings that test whether experiences, prompts and interactions work across African markets.
Customer interaction analysis
Scenario-based recordings for service, complaint, support, sales or agent/customer interaction models.
Behavioural context
Audio-visual data where user behaviour, task flow or environmental context is part of the dataset value.
Sample dataset experience
This illustrative module shows how an audio-visual dataset can be packaged with waveform, transcript, metadata, consent and QC signals. Replace with real consent-cleared sample assets if available.
Waveform
Audio file: participant_014_session_02.wav
Transcript snippet
00:08 Participant responds to a product task prompt in a mixed-language context.
00:17 Speaker shifts language while explaining the task outcome.
00:24 Non-speech event and task completion label recorded.
Metadata panel
Need audio or audio-visual data for African markets?
Start with a focused pilot to validate recording workflow, consent, metadata, audio/video quality and delivery standards before scaling.