Multimodal AI Datasets for Video, Audio and Text
Wavebreak Media provides licensed multimodal training data built around paired and synchronized video, audio, text, and structured metadata. Current collections include human speech video with recorded audio and object or foley video with synchronized sound.
Choose an existing dataset, a custom-curated subset of Wavebreak Media-owned content, or purpose-built multimodal data prepared to meet defined alignment, metadata, provenance, release, licensing, and delivery requirements.
Featured Datasets
Explore sample licensed datasets across image, video, audio, and text collections.
What Is Multimodal AI Training Data?
Multimodal AI training data combines two or more distinct data modalities, such as video and audio or audio and text, while preserving the relationship between them.
In audiovisual datasets, video frames and audio must remain synchronized. Where transcripts, captions, or other text fields are included, they can be linked to individual clips or timecodes. Native audiovisual containers, shared asset IDs, timestamps where available, manifests, and schema documentation allow every component to be reliably matched during training and evaluation.
Labels and metadata support the paired modalities by describing content, technical properties, rights, and file relationships.
For image-text and video-text datasets designed specifically for captioning, visual question answering, grounding, or visual-language retrieval, see Vision-Language Model Datasets.
Paired and Synchronized Multimodal Dataset Structures
Depending on the source data and project requirements, multimodal deliveries can include:
- Video paired with native recorded speech audio
- Video paired with synchronized object, material, tool, or foley sounds
- Video and audio with transcripts or captions prepared on request
- Audio linked to text, speaker, scene, or technical metadata
- Media files connected through shared asset IDs and manifests
- Custom modality combinations and relationship schemas
- Provenance records, applicable release documentation, and usage documentation
Multimodal AI Training and Evaluation Use Cases
Licensed multimodal datasets can support:
- Automatic and audiovisual speech recognition
- Speech and visual-context alignment
- Audiovisual event recognition
- Sound-source and visual-context alignment
- Speaker and speaking-activity detection
- Object interaction and sound recognition
- Multimodal model fine-tuning
- Audiovisual model evaluation and benchmarking
Available Licensed Multimodal Datasets
English Speech Video and Audio Dataset
The 4K and HD English Speech Video + Audio Dataset contains 1,126 horizontal clips and approximately 15.4 hours of synchronized audiovisual content. Each clip combines human-centered video with recorded English speech audio. Transcription can be prepared on request.
Object and Foley Video and Audio Dataset
The 4K and HD Object & Foley Sounds Video + Audio Dataset contains 25,657 horizontal clips and approximately 93.9 hours of synchronized video and non-speech audio. Content includes objects, materials, tools, physical interactions, and recorded foley sounds.
Custom Multimodal Datasets by Wavebreak Media
Wavebreak Media can curate existing Wavebreak Media-owned source media or produce new data around defined modality combinations, subjects, environments, synchronization requirements, transcripts, captions, metadata fields, dataset volume, licensing terms, and delivery specifications.
Frequently Asked Questions (FAQ)
Available options include video with recorded speech, video with synchronized object or foley audio, video and audio with transcripts prepared on request, and custom combinations of video, audio, speech, and text, supported by labels and structured metadata.
Yes. Wavebreak Media provides audiovisual datasets in which the recorded audio remains synchronized with the corresponding video. Delivery specifications depend on the source collection and agreed dataset scope.
English speech audio can be transcribed on request. Transcript format, segmentation, timestamps, speaker fields, caption structure, and quality requirements are defined during dataset scoping.
Relationships can be preserved through native audiovisual files, shared asset IDs, manifests, file naming conventions, timestamps where available, and a documented delivery schema.
Multimodal datasets explicitly link two or more data types through structured relationships, such as images paired with captions or videos paired with descriptions. AI training dataset may contain only one modality or may not define relationships between modalities.
Yes. Multimodal datasets can be licensed under dataset-specific commercial terms. The agreement defines permitted use for training, fine-tuning, evaluation, deployment, and other agreed model-development activities.
Yes. Existing Wavebreak Media-owned content can be selected and enriched, or new multimodal data can be produced around an agreed model task, modality combination, content brief, metadata schema, volume, and delivery specification.
Describe the modalities, model task, required dataset size, synchronization, transcript, metadata, licensing, release, and delivery requirements. Wavebreak Media will review existing and custom dataset options for your multimodal AI workflow.
Request Multimodal AI Datasets
Describe the required modalities, model task, dataset size, synchronization, transcription, metadata, licensing, release, and delivery requirements. Wavebreak Media will review existing and custom dataset options for your multimodal AI workflow.
