SoundAnalysis framework
E732974
SoundAnalysis framework is an Apple framework that enables on-device audio classification and sound recognition using machine learning models.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SoundAnalysis framework canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8415090 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SoundAnalysis framework Context triple: [Core ML, integratesWith, SoundAnalysis framework]
-
A.
Speech Analysis, Synthesis and Perception
"Speech Analysis, Synthesis and Perception" is a foundational technical book that systematically explores the theory, modeling, and processing of human speech signals for analysis, synthesis, and recognition.
-
B.
UPIC graphic sound synthesis system
The UPIC graphic sound synthesis system is an innovative electronic music tool that allows composers to create and manipulate sounds by drawing graphical shapes, pioneered by composer and architect Iannis Xenakis.
-
C.
Hearsay speech understanding system
The Hearsay speech understanding system is an early, influential AI project that pioneered blackboard architectures for integrating multiple knowledge sources in continuous speech recognition.
-
D.
DCASE
DCASE is the Chicago Department of Cultural Affairs and Special Events, the city agency responsible for promoting arts, culture, and public events in Chicago.
-
E.
Visible Speech
Visible Speech is a 19th-century phonetic notation system devised by Alexander Melville Bell to visually represent the position and movement of speech organs for any spoken sound.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SoundAnalysis framework Target entity description: SoundAnalysis framework is an Apple framework that enables on-device audio classification and sound recognition using machine learning models.
-
A.
Speech Analysis, Synthesis and Perception
"Speech Analysis, Synthesis and Perception" is a foundational technical book that systematically explores the theory, modeling, and processing of human speech signals for analysis, synthesis, and recognition.
-
B.
UPIC graphic sound synthesis system
The UPIC graphic sound synthesis system is an innovative electronic music tool that allows composers to create and manipulate sounds by drawing graphical shapes, pioneered by composer and architect Iannis Xenakis.
-
C.
Hearsay speech understanding system
The Hearsay speech understanding system is an early, influential AI project that pioneered blackboard architectures for integrating multiple knowledge sources in continuous speech recognition.
-
D.
DCASE
DCASE is the Chicago Department of Cultural Affairs and Special Events, the city agency responsible for promoting arts, culture, and public events in Chicago.
-
E.
Visible Speech
Visible Speech is a 19th-century phonetic notation system devised by Alexander Melville Bell to visually represent the position and movement of speech organs for any spoken sound.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
Apple software framework
ⓘ
audio analysis framework ⓘ |
| accessibleFrom | Objective-C ⓘ |
| benefit |
low-latency sound recognition
ⓘ
privacy-preserving audio analysis ⓘ |
| category |
audio processing framework
ⓘ
machine learning framework ⓘ |
| designedFor | on-device processing ⓘ |
| developer | Apple Inc. ⓘ |
| integratesWith |
AVFoundation
ⓘ
Core ML ⓘ |
| platform |
Apple platforms
ⓘ
linked to:
Apple platforms APIs
iOS ⓘ macOS ⓘ tvOS ⓘ watchOS ⓘ |
| primaryLanguage | Swift ⓘ |
| provides |
APIs for analyzing audio streams
ⓘ
APIs for classifying sounds ⓘ APIs for detecting sound events ⓘ |
| supports |
Core ML models
ⓘ
machine learning models ⓘ offline processing ⓘ on-device audio classification ⓘ real-time audio analysis ⓘ sound recognition ⓘ |
| supportsFeature |
classification confidence scores
ⓘ
file-based audio analysis requests ⓘ streaming audio analysis requests ⓘ time-based analysis results ⓘ |
| typicalClient |
iOS apps
ⓘ
macOS apps ⓘ |
| useCase |
custom sound event recognition
ⓘ
environmental sound classification ⓘ speech-related sound detection ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: SoundAnalysis framework Description of subject: SoundAnalysis framework is an Apple framework that enables on-device audio classification and sound recognition using machine learning models.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.