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SLT 2026: IEEE Spoken Language Technology

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투고 마감일:
2026-09-11 Extended
통보일:
2026-09-16
개최일:
2026-12-13
개최지:
Palermo, Sicily, Italy
CCF: C   조회: 2361   팔로우: 2   참가: 1

회반 지수 (CP-I)

52.2 / 100
전체 5,682개 중 1,164위 · 상위 21%

자연어 처리·음성 분야 85개 중 21위

학술적 인정 (35%)
66
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
커뮤니티 관심도 (10%)
38
공개 자료 충실도 (15%)
35

사용한 입력: 수록 등급: CCF C · 회반에서 팔로우 중인 연구자: 2명 · 지난 24개월 동안 이 페이지를 연 연구자: 40명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
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신뢰도 60% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-19

논문 모집

SLT 2026 (IEEE Spoken Language Technology) is a CCF C conference held in Palermo, Sicily, Italy on 2026-12-13. The paper submission deadline is 2026-09-11 (extended). Acceptance notifications are sent on 2026-09-16.

The IEEE Spoken Language Technology (SLT) Workshop, held biennially, brings together leading researchers from academia and industry in a focused and collaborative environment. As a pivotal forum for discussing emerging developments and shared challenges in spoken language technology, SLT fosters meaningful dialogue, the exchange of cutting-edge research, and the advancement of the field. Transforming how we connect and innovate, spoken language technology profoundly impacts human progress by driving the future of interaction, accelerating innovation, ensuring greater accessibility, and enabling seamless human-machine interaction. Its impact extends across numerous domains, including education and healthcare, where it is transforming how technology is developed and deployed. We look forward to welcoming you to SLT 2026 for an enriching experience as we explore the latest innovations and continue pushing the frontiers of this dynamic field. Topics We are calling for submissions in all areas of spoken language processing, particularly focusing on the following topics: Automatic speech recognition Conversational/multi-speaker ASR Far-field speech processing Speech separation and enhancement Speaker and language recognition Speaker diarization Spoken language understanding Spoken dialog systems Low resource/multilingual speech processing Spoken language processing Spoken document retrieval Speech-to-speech translation Text-to-speech systems Speech summarization New applications of automatic speech recognition Audio-visual/multimodal speech processing Emotion recognition from speech Large language models for spoken language processing Speech foundation models Self-supervised and representation learning for speech Child speech/language processing Special Theme: Spoken Language Technology for Social Wellbeing in the Digital Privacy Era Since the theme of this year is Spoken Language Technology for Social Wellbeing in the Digital Privacy Era, the following key topics are also proposed: Voice Technology in Healthcare Speech Processing for Assistive Healthcare Technologies Assistive Hearing and Speaking Technologies Voice-Activated Virtual Healthcare Assistants Speech Technologies for Telehealth and Remote Care Privacy-preserving speech recognition Privacy in Voice Biometrics and Speaker Identification Robustness of speech technologies against malicious activities, adversarial attacks, and threat models Fairness, bias, and accountability in speech systems Spoofing and deepfake detection, attribution, and characterization Forensic and investigative applications Voice Anonymization Techniques Integrity verification, watermarking, and traceability for voice technologies
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
CNeurocomputing6.5Elsevier0925-2312
CACM Transactions on Asian and Low-Resource Language Information Processing2.0ACM2375-4699
CKnowledge-Based Systems7.2Elsevier0950-7051
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
BPattern Recognition7.6Elsevier0031-3203
CFuture Generation Computer Systems5.9Elsevier0167-739X
CPattern Recognition Letters3.9Elsevier0167-8655
CIEEE Transactions on Industrial Informatics11.7IEEE1551-3203
CIEEE Internet of Things Journal8.9IEEE2327-4662
CExpert Systems with Applications7.5Elsevier0957-4174

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