IEEE International Conference on Acoustics, Speech, and Signal Processing
E9946
The IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) is a leading annual scientific conference that showcases cutting-edge research and advances in signal processing, including audio, speech, image, and multimedia technologies.
All labels observed (3)
How this entity was disambiguated
This entity first appeared as the object of triple T13137 — 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: IEEE International Conference on Acoustics, Speech, and Signal Processing Context triple: [IEEE Signal Processing Society, organizes, IEEE International Conference on Acoustics, Speech, and Signal Processing]
-
A.
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing is a leading peer-reviewed journal covering research and advances in audio, speech, and natural language signal processing.
-
B.
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing is a leading peer-reviewed journal that publishes advanced research on the theory, algorithms, and applications of signal processing.
-
C.
IEEE International Symposium on Circuits and Systems
The IEEE International Symposium on Circuits and Systems is a leading annual global conference that brings together researchers and practitioners to present and discuss advances in circuits, systems, and related technologies.
-
D.
IEEE Signal Processing Magazine
IEEE Signal Processing Magazine is a leading peer-reviewed periodical that features tutorials, reviews, and perspectives on advances and applications in signal processing for researchers and practitioners.
-
E.
IEEE Signal Processing Society
The IEEE Signal Processing Society is a leading professional society dedicated to advancing the theory, algorithms, and applications of signal processing in areas such as communications, audio, image, and multimedia.
- 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: IEEE International Conference on Acoustics, Speech, and Signal Processing Target entity description: The IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) is a leading annual scientific conference that showcases cutting-edge research and advances in signal processing, including audio, speech, image, and multimedia technologies.
-
A.
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Audio, Speech, and Language Processing is a leading peer-reviewed journal covering research and advances in audio, speech, and natural language signal processing.
-
B.
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing is a leading peer-reviewed journal that publishes advanced research on the theory, algorithms, and applications of signal processing.
-
C.
IEEE International Symposium on Circuits and Systems
The IEEE International Symposium on Circuits and Systems is a leading annual global conference that brings together researchers and practitioners to present and discuss advances in circuits, systems, and related technologies.
-
D.
IEEE Signal Processing Magazine
IEEE Signal Processing Magazine is a leading peer-reviewed periodical that features tutorials, reviews, and perspectives on advances and applications in signal processing for researchers and practitioners.
-
E.
IEEE Signal Processing Society
The IEEE Signal Processing Society is a leading professional society dedicated to advancing the theory, algorithms, and applications of signal processing in areas such as communications, audio, image, and multimedia.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
annual conference
ⓘ
scientific conference ⓘ signal processing conference ⓘ |
| academicDiscipline |
computer science
ⓘ
electrical engineering ⓘ |
| audience |
academics
ⓘ
graduate students ⓘ industry professionals ⓘ researchers ⓘ |
| field |
acoustics
ⓘ
audio signal processing ⓘ image processing ⓘ multimedia signal processing ⓘ signal processing ⓘ speech processing ⓘ |
| focusesOn |
algorithms for signal processing
ⓘ
applications of signal processing ⓘ array signal processing ⓘ audio analysis ⓘ audio coding ⓘ biomedical signal processing ⓘ deep learning for signal processing ⓘ image analysis ⓘ image and video compression ⓘ machine learning for signal processing ⓘ multimedia information retrieval ⓘ pattern recognition in signals ⓘ source separation ⓘ speech enhancement ⓘ speech recognition ⓘ speech synthesis ⓘ statistical signal processing ⓘ theory of signal processing ⓘ |
| frequency | annual ⓘ |
| hasAbbreviation |
IEEE International Conference on Acoustics, Speech, and Signal Processing
self-linksurface differs
ⓘ
surface form:
ICASSP
|
| includes |
oral presentations
ⓘ
plenary talks ⓘ poster sessions ⓘ special sessions ⓘ tutorials ⓘ |
| language | English ⓘ |
| organizer |
IEEE Signal Processing Society
ⓘ
Institute of Electrical and Electronics Engineers ⓘ |
| proceedingsIndexedIn |
IEEE Xplore Digital Library
ⓘ
surface form:
IEEE Xplore
|
| proceedingsPublisher |
Institute of Electrical and Electronics Engineers
ⓘ
surface form:
IEEE
|
| shortName |
IEEE International Conference on Acoustics, Speech, and Signal Processing
self-linksurface differs
ⓘ
surface form:
ICASSP
|
| sponsor |
Institute of Electrical and Electronics Engineers
ⓘ
surface form:
IEEE
|
| typicalSubmissionType | peer-reviewed paper ⓘ |
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: IEEE International Conference on Acoustics, Speech, and Signal Processing Description of subject: The IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) is a leading annual scientific conference that showcases cutting-edge research and advances in signal processing, including audio, speech, image, and multimedia technologies.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
IEEE Signal Processing Society
→
organizes
→
IEEE International Conference on Acoustics, Speech, and Signal Processing
ⓘ
IEEE International Conference on Acoustics, Speech, and Signal Processing
→
shortName
→
IEEE International Conference on Acoustics, Speech, and Signal Processing
self-linksurface differs
ⓘ
this entity surface form:
ICASSP
IEEE International Conference on Acoustics, Speech, and Signal Processing
→
hasAbbreviation
→
IEEE International Conference on Acoustics, Speech, and Signal Processing
self-linksurface differs
ⓘ
this entity surface form:
ICASSP
IEEE conferences
→
example
→
IEEE International Conference on Acoustics, Speech, and Signal Processing
ⓘ
this entity surface form:
IEEE International Conference on Acoustics, Speech and Signal Processing
Heiga Zen
→
hasPublicationVenue
→
IEEE International Conference on Acoustics, Speech, and Signal Processing
ⓘ
this entity surface form:
ICASSP