INTERSPEECH
E736212
INTERSPEECH is a leading international conference focused on speech communication and technology, covering research in speech processing, recognition, synthesis, and related fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| INTERSPEECH canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8483031 — 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: INTERSPEECH Context triple: [Heiga Zen, hasPublicationVenue, INTERSPEECH]
-
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.
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.
-
C.
IEEE International Conference on Acoustics, Speech, and Signal Processing
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.
-
D.
Proceedings of Meetings on Acoustics
Proceedings of Meetings on Acoustics is a scholarly journal and conference proceedings series that publishes peer-reviewed research papers and presentations in the field of acoustics.
-
E.
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.
- 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: INTERSPEECH Target entity description: INTERSPEECH is a leading international conference focused on speech communication and technology, covering research in speech processing, recognition, synthesis, and related fields.
-
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.
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.
-
C.
IEEE International Conference on Acoustics, Speech, and Signal Processing
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.
-
D.
Proceedings of Meetings on Acoustics
Proceedings of Meetings on Acoustics is a scholarly journal and conference proceedings series that publishes peer-reviewed research papers and presentations in the field of acoustics.
-
E.
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.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
scientific conference
ⓘ
speech and language technology conference ⓘ |
| acronym | INTERSPEECH NERFINISHED ⓘ |
| audience |
industry practitioners
ⓘ
researchers ⓘ students ⓘ |
| field |
automatic speech recognition
ⓘ
human-computer interaction ⓘ natural language processing ⓘ signal processing ⓘ speech communication ⓘ speech processing ⓘ speech synthesis ⓘ speech technology ⓘ spoken language processing ⓘ |
| frequency | annual ⓘ |
| hasComponent |
challenges and competitions
ⓘ
keynote talks ⓘ oral sessions ⓘ poster sessions ⓘ satellite workshops ⓘ special sessions ⓘ technical program ⓘ tutorials ⓘ |
| language | English ⓘ |
| mainGoal |
dissemination of research in speech communication
ⓘ
fostering collaboration in speech technology community ⓘ |
| organizedBy | International Speech Communication Association NERFINISHED ⓘ |
| primaryMedium | conference proceedings ⓘ |
| scope | global ⓘ |
| shortName | ISCA INTERSPEECH NERFINISHED ⓘ |
| topic |
deep learning for speech
ⓘ
end-to-end speech processing ⓘ evaluation and benchmarking in speech ⓘ low-resource speech processing ⓘ multimodal interaction ⓘ paralinguistics ⓘ prosody ⓘ robust speech recognition ⓘ speaker recognition ⓘ speech coding ⓘ speech corpora and resources ⓘ speech enhancement ⓘ speech recognition ⓘ speech synthesis ⓘ speech translation ⓘ spoken dialogue systems ⓘ |
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: INTERSPEECH Description of subject: INTERSPEECH is a leading international conference focused on speech communication and technology, covering research in speech processing, recognition, synthesis, and related fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.