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glam/schemas/20251121/linkml/modules/classes/VideoAudioAnnotation.yaml
kempersc 4319f38c05 Add archived slots for audience size, audience type, and capacity metrics 
- Created new YAML files for audience size and audience type slots, defining their properties and annotations.
- Added archived capacity slots including cubic meters, linear meters, item count, and descriptions, with appropriate URIs and ranges.
- Introduced a template specificity slot for context-aware RAG filtering.
- Consolidated capacity-related slots into a unified structure, including has_or_had_capacity, capacity_type, and capacity_value, with detailed descriptions and examples.
2026-01-17 18:53:23 +01:00

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id: https://nde.nl/ontology/hc/class/VideoAudioAnnotation
name: video_audio_annotation_class
title: Video Audio Annotation Class
imports:
- linkml:types
- ./VideoAnnotation
- ./VideoTimeSegment
- ./AudioEventSegment
# REMOVED - migrated to has_or_had_segment with range AudioEventSegment (Rule 53)
# - ../slots/audio_event_segments
- ../slots/has_or_had_segment
- ../slots/has_audio_quality_score
- ../slots/diarization_confidence
- ../slots/diarization_enabled
- ../slots/diarization_end_seconds
- ../slots/has_or_had_diarization_segment
- ../slots/diarization_speaker_id
- ../slots/diarization_speaker_label
- ../slots/diarization_start_seconds
- ../slots/has_clipping
- ../slots/is_background
- ../slots/is_overlapping
- ../slots/languages_detected
- ../slots/music_confidence
- ../slots/music_detected
- ../slots/music_end_seconds
- ../slots/music_genre
- ../slots/music_genres_detected
- ../slots/music_segment_confidence
- ../slots/has_or_had_music_segment
- ../slots/music_start_seconds
- ../slots/music_type
- ../slots/noise_floor_db
- ../slots/primary_audio_event_type
- ../slots/segment_confidence
- ../slots/segment_end_seconds
- ../slots/segment_language
- ../slots/segment_start_seconds
- ../slots/has_or_had_silence_segment
- ../slots/silence_total_seconds
- ../slots/snr_db
- ../slots/has_or_had_sound_event_type
- ../slots/sound_events_detected
- ../slots/speaker_count
- ../slots/speaker_id
- ../slots/speaker_label
- ../slots/specificity_annotation
- ../slots/speech_detected
- ../slots/speech_language
- ../slots/speech_language_confidence
- ../slots/has_or_had_speech_segment
- ../slots/speech_text
- ../slots/has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
- ./VideoAudioAnnotation
- ./SpecificityAnnotation
- ./TemplateSpecificityScore # was: TemplateSpecificityScores - migrated per Rule 53 (2026-01-17)
- ./TemplateSpecificityType
- ./TemplateSpecificityTypes
- ../slots/has_audio_event_segment
- ../enums/AudioEventTypeEnum
- ../enums/SoundEventTypeEnum
- ../enums/MusicTypeEnum
prefixes:
linkml: https://w3id.org/linkml/
hc: https://nde.nl/ontology/hc/
schema: http://schema.org/
dcterms: http://purl.org/dc/terms/
prov: http://www.w3.org/ns/prov#
crm: http://www.cidoc-crm.org/cidoc-crm/
oa: http://www.w3.org/ns/oa#
ma: http://www.w3.org/ns/ma-ont#
wd: http://www.wikidata.org/entity/
default_prefix: hc
classes:
VideoAudioAnnotation:
is_a: VideoAnnotation
class_uri: hc:VideoAudioAnnotation
abstract: false
description: "Annotation for audio events detected in video content.\n\n**DEFINITION**:\n\nVideoAudioAnnotation captures\
\ structured information derived from audio\nanalysis of video content. This includes speech, music, silence, and\n\
various sound events.\n\n**AUDIO ANALYSIS TYPES**:\n\n| Type | Description | Use Case |\n|------|-------------|----------|\n\
| **Speech Detection** | Identify spoken segments | Transcript alignment |\n| **Speaker Diarization** | Who spoke when\
\ | Interview navigation |\n| **Music Detection** | Identify musical segments | Content classification |\n| **Sound\
\ Events** | Applause, laughter, etc. | Audience engagement |\n| **Silence Detection** | Find quiet segments | Quality\
\ assessment |\n| **Language Detection** | Identify spoken languages | Multilingual content |\n\n**SPEAKER DIARIZATION**:\n\
\nDiarization answers \"who spoke when\":\n\n```\n0:00-0:15 Speaker 1 (Curator)\n0:15-0:45 Speaker 2 (Artist)\n0:45-1:00\
\ Speaker 1 (Curator)\n1:00-1:30 Speaker 3 (Museum Director)\n```\n\nHeritage applications:\n- Navigate to specific\
\ speakers in interviews\n- Count speaking time per person\n- Identify unnamed speakers for annotation\n- Build speaker\
\ databases for recognition\n\n**MUSIC DETECTION**:\n\nMusic detection classifies audio segments as containing music:\n\
\n| Category | Examples |\n|----------|----------|\n| **Background music** | Documentary soundtracks |\n| **Featured\
\ music** | Concert recordings, performances |\n| **Historical music** | Archival recordings |\n| **Licensed music**\
\ | Rights-managed content |\n\nMusic segments may also include:\n- Genre classification (classical, jazz, folk)\n-\
\ Mood/tempo analysis\n- Fingerprinting for identification\n\n**SOUND EVENT DETECTION**:\n\nNon-speech, non-music audio\
\ events:\n\n| Event Type | Heritage Context |\n|------------|------------------|\n| APPLAUSE | Lecture recordings,\
\ openings |\n| LAUGHTER | Tour guides, educational content |\n| CROWD_NOISE | Event documentation |\n| DOOR/FOOTSTEPS\
\ | Ambient archive recordings |\n| NATURE_SOUNDS | Outdoor heritage site recordings |\n| MACHINERY | Industrial heritage,\
\ conservation |\n\n**LANGUAGE DETECTION**:\n\nMultilingual heritage content requires language identification:\n\n```yaml\n\
has_or_had_speech_segment:\n - start: 0.0\n end: 120.0\n language: nl\n speaker_id: speaker_001\n - start:\
\ 120.0\n end: 240.0\n language: en\n speaker_id: speaker_001 # Same speaker, switched language\n```\n\n**AUDIO\
\ QUALITY ANALYSIS**:\n\nAudio quality metrics for preservation and accessibility:\n\n| Metric | Description | Threshold\
\ |\n|--------|-------------|-----------|\n| SNR | Signal-to-noise ratio | > 20 dB good |\n| Clipping | Peak distortion\
\ | None ideal |\n| Noise floor | Background noise level | < -50 dB good |\n| Frequency response | Bandwidth | Full-range\
\ ideal |\n\n**HERITAGE INSTITUTION USE CASES**:\n\n| Content Type | Audio Analysis Need |\n|--------------|---------------------|\n\
| Oral histories | Diarization, transcription alignment |\n| Curator interviews | Speaker identification, language |\n\
| Virtual tours | Background music, voiceover detection |\n| Lecture recordings | Audience reactions, Q&A segments |\n\
| Conservation videos | Narration vs demonstration audio |\n| Archival footage | Speech recovery, noise reduction |\n\
\n**RELATIONSHIP TO VideoTranscript**:\n\nVideoAudioAnnotation is complementary to VideoTranscript:\n\n- **VideoTranscript**:\
\ The text content of speech (WHAT was said)\n- **VideoAudioAnnotation**: Audio structure (WHO spoke, music, sounds)\n\
\nTogether they provide complete audio understanding:\n\n```\nVideoAudioAnnotation: Speaker 1 spoke 0:00-0:15\nVideoTranscript:\
\ \"Welcome to the Rijksmuseum...\" (0:00-0:15)\n→ Combined: Curator said \"Welcome to the Rijksmuseum...\"\n```\n"
exact_mappings:
- hc:VideoAudioAnnotation
close_mappings:
- ma:AudioTrack
- crm:E13_Attribute_Assignment
related_mappings:
- wikidata:Q11028
- wikidata:Q638
slots:
# MIGRATED from audio_event_segments to has_or_had_segment (Rule 53)
# - audio_event_segments
- has_or_had_segment
- audio_quality_score
- diarization_enabled
- has_or_had_diarization_segment
- has_clipping
- languages_detected
- music_confidence
- music_detected
- music_genres_detected
- has_or_had_music_segment
- noise_floor_db
- primary_audio_event_type
- has_or_had_silence_segment
- silence_total_seconds
- snr_db
- has_or_had_sound_event_type
- sound_events_detected
- speaker_count
- speaker_label
- specificity_annotation
- speech_detected
- speech_language
- speech_language_confidence
- has_or_had_speech_segment
- has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
slot_usage:
has_or_had_segment:
description: |
MIGRATED from audio_event_segments (Rule 53).
Audio event segments detected in the video content.
range: AudioEventSegment
multivalued: true
required: false
inlined_as_list: true
examples:
- value: '[{audio_event_type: SPEECH, start_seconds: 0.0, end_seconds: 15.0, segment_text: "Speech detected - Speaker 1", confidence: 0.95}]'
description: Speech detection segment
- value: '[{audio_event_type: MUSIC, start_seconds: 30.0, end_seconds: 60.0, segment_text: "Background classical music", confidence: 0.88}]'
description: Music detection segment
# NOTE: has_audio_event_segment is deprecated - use has_or_had_segment above
has_audio_event_segment:
range: VideoTimeSegment
multivalued: true
required: false
inlined_as_list: true
examples:
- value: '[{start_seconds: 0.0, end_seconds: 15.0, segment_text: ''Speech detected - Speaker 1''}]'
description: Speech detection segment
primary_audio_event_type:
range: AudioEventTypeEnum
required: true
examples:
- value: SPEECH
description: Primary focus on speech analysis
speech_detected:
range: boolean
required: false
examples:
- value: true
description: Speech is present in video
has_or_had_speech_segment:
range: SpeechSegment
multivalued: true
required: false
inlined_as_list: true
examples:
- value: '[{start_seconds: 0.0, end_seconds: 15.0, speaker_id: ''spk_001'', language: ''nl''}]'
description: Dutch speech from speaker 1
speech_language:
range: string
required: false
examples:
- value: nl
description: Dutch is primary language
- value: en
description: English is primary language
speech_language_confidence:
range: float
required: false
minimum_value: 0.0
maximum_value: 1.0
examples:
- value: 0.95
description: High confidence language detection
languages_detected:
range: string
multivalued: true
required: false
examples:
- value: '[nl, en, de]'
description: Dutch, English, and German detected
diarization_enabled:
range: boolean
required: false
examples:
- value: true
description: Diarization was performed
has_or_had_diarization_segment:
range: DiarizationSegment
multivalued: true
required: false
inlined_as_list: true
examples:
- value: '[{start_seconds: 0.0, end_seconds: 15.0, speaker_id: ''spk_001'', speaker_label: ''Curator''}]'
description: Curator speaking for first 15 seconds
speaker_count:
range: integer
required: false
minimum_value: 0
examples:
- value: 3
description: Three distinct speakers detected
speaker_label:
range: string
multivalued: true
required: false
examples:
- value: '[Curator, Artist, Museum Director]'
description: Three identified speakers
music_detected:
range: boolean
required: false
examples:
- value: true
description: Music present in video
has_or_had_music_segment:
range: MusicSegment
multivalued: true
required: false
inlined_as_list: true
examples:
- value: '[{start_seconds: 0.0, end_seconds: 30.0, music_type: ''BACKGROUND'', genre: ''classical''}]'
description: Classical background music
music_genres_detected:
range: string
multivalued: true
required: false
examples:
- value: '[classical, baroque]'
description: Classical and baroque music detected
music_confidence:
range: float
required: false
minimum_value: 0.0
maximum_value: 1.0
examples:
- value: 0.88
description: High confidence music detection
sound_events_detected:
range: boolean
required: false
examples:
- value: true
description: Sound events detected
has_or_had_sound_event_type:
range: SoundEventTypeEnum
multivalued: true
required: false
examples:
- value: '[APPLAUSE, CROWD_NOISE]'
description: Applause and crowd sounds detected
has_or_had_silence_segment:
range: VideoTimeSegment
multivalued: true
required: false
inlined_as_list: true
examples:
- value: '[{start_seconds: 45.0, end_seconds: 48.0}]'
description: 3-second silence
silence_total_seconds:
range: float
required: false
minimum_value: 0.0
examples:
- value: 15.5
description: 15.5 seconds of total silence
noise_floor_db:
range: float
required: false
examples:
- value: -45.0
description: Good quality, moderate noise floor
has_audio_quality_score:
range: float
required: false
minimum_value: 0.0
maximum_value: 1.0
examples:
- value: 0.85
description: High audio quality
snr_db:
range: float
required: false
examples:
- value: 25.0
description: Good signal-to-noise ratio
has_clipping:
range: boolean
required: false
examples:
- value: false
description: No clipping detected
comments:
- Audio event detection for video content
- Supports speech, music, silence, and sound event detection
- Speaker diarization for interview navigation
- Language detection for multilingual heritage content
- Audio quality metrics for preservation assessment
see_also:
- https://www.w3.org/TR/annotation-model/
- https://arxiv.org/abs/2111.08085
SpeechSegment:
class_uri: hc:SpeechSegment
description: 'A speech segment with speaker and language information.
Extends VideoTimeSegment with speech-specific metadata.
'
slots:
- segment_confidence
- segment_end_seconds
- segment_language
- segment_start_seconds
- speaker_id
- speaker_label
- specificity_annotation
- speech_text
- has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
slot_usage:
segment_start_seconds:
range: float
required: true
minimum_value: 0.0
segment_end_seconds:
range: float
required: true
minimum_value: 0.0
speaker_id:
range: string
required: false
speaker_label:
range: string
required: false
segment_language:
range: string
required: false
segment_confidence:
range: float
required: false
minimum_value: 0.0
maximum_value: 1.0
speech_text:
range: string
required: false
DiarizationSegment:
class_uri: hc:DiarizationSegment
description: 'A diarization segment identifying speaker and time boundaries.
Focused on "who spoke when" rather than transcript content.
'
slots:
- diarization_confidence
- diarization_end_seconds
- diarization_speaker_id
- diarization_speaker_label
- diarization_start_seconds
- is_overlapping
- specificity_annotation
- has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
slot_usage:
diarization_start_seconds:
range: float
required: true
minimum_value: 0.0
diarization_end_seconds:
range: float
required: true
minimum_value: 0.0
diarization_speaker_id:
range: string
required: true
diarization_speaker_label:
range: string
required: false
diarization_confidence:
range: float
required: false
minimum_value: 0.0
maximum_value: 1.0
is_overlapping:
range: boolean
required: false
MusicSegment:
class_uri: hc:MusicSegment
description: 'A segment of detected music with classification.
'
slots:
- is_background
- music_end_seconds
- music_genre
- music_segment_confidence
- music_start_seconds
- music_type
- specificity_annotation
- has_or_had_score # was: template_specificity - migrated per Rule 53 (2026-01-17)
slot_usage:
music_start_seconds:
range: float
required: true
minimum_value: 0.0
music_end_seconds:
range: float
required: true
minimum_value: 0.0
music_type:
range: MusicTypeEnum
required: false
music_genre:
range: string
required: false
music_segment_confidence:
range: float
required: false
minimum_value: 0.0
maximum_value: 1.0
is_background:
range: boolean
required: false
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