Conference Information

SpeD 2027: Conference on Speech Technology and Human-Computer Dialogue

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Submission Date:
2027-06-06 Due in 209 days
Notification Date:
2027-08-15
Conference Date:
2027-10-14
Location:
Targu Mures, Romania
Years:
Viewed: 12659   Tracked: 0   Attend: 0
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Conference Partner Index (CP-I)

51.4 / 100
Ranked #1,405 of 5,771 conferences · Top 25%

#24 of 85 in Natural Language Processing & Speech #55 of 155 in Human-Computer Interaction

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
73
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 14 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-11-09

Call For Papers

SpeD 2027 (Conference on Speech Technology and Human-Computer Dialogue) is an academic conference held in Targu Mures, Romania on 2027-10-14. The paper submission deadline is 2027-06-06. Acceptance notifications are sent on 2027-08-15.

Main topics Speech technology, language technologies, and multimodal human–computer interaction: from foundational methods to deployed systems. Automatic Speech Recognition Algorithms, models, and systems for accurate, robust transcription in diverse acoustic and linguistic conditions. Audio Deepfakes & Forensics Detection, analysis, and prevention of manipulated or synthetic speech, with forensic applications. Text-to-Speech Synthesis Neural and statistical approaches to natural, expressive, and intelligible synthetic speech. Speech Emotion Recognition Computational methods for analysing affective and paralinguistic cues in speech. Speaker Recognition & Diarization Speaker identification, verification, and segmentation in multi-speaker environments. Audio & Signal Processing Enhancement, separation, coding, and transformation of speech and audio signals. Multimodal & Audio-Visual Processing Integrating visual, linguistic, and contextual cues for understanding and synthesis. Natural Language Processing Models and tools for understanding, generating, and interacting with human language.
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