1. Speech Perception, Production and Acquisition
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| 1.1 Models of speech production |
| 1.2 Physiology and neurophysiology of speech production |
| 1.3 Coarticulation |
| 1.4 Models of speech perception |
| 1.5 Physiology and neurophysiology of speech perception |
| 1.6 Acoustic and articulatory cues in speech perception |
| 1.7 Interaction speech production-speech perception |
| 1.8 Multimodal speech perception |
| 1.9 Cognition and brain studies on speech |
| 1.10 Multilingual studies and code switching |
| 1.11 L1 acquisition and bilingual acquisition |
| 1.12 L2 acquisition |
| 1.13 Speech and voice disorders |
| 1.14 Hearing disorders |
| 1.15 Singing voice: production and perception |
| 1.16 Speech and other biosignals |
| 1.17 Special Session: Computational models in child language acquisition |
| 1.18 Special Session: Data collection, transcription and annotation issues in child language acquisition settings |
| 1.19 Special Session: Speech Technologies for Code-Switching in Multilingual Communities |
2. Phonetics, Phonology, and Prosody
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| 2.1 Phonetics and phonology |
| 2.2 Language descriptions |
| 2.3 Linguistic systems |
| 2.4 Acoustic phonetics |
| 2.5 Phonation, voice quality |
| 2.6 Articulatory and acoustic features of prosody |
| 2.7 Perception of prosody |
| 2.8 Laboratory phonology |
| 2.9 Phonetic universals |
| 2.10 Sound changes |
| 2.11 Sociophonetics |
| 2.12 Phonetics of L1-L2 interaction |
| 2.13 Forensic phonetics |
| 2.14 Special Session: Acoustic Manifestations of Social Characteristics |
3. Analysis of Paralinguistics in Speech and Language
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| 3.1 Analysis of speaker states |
| 3.2 Analysis of speaker traits |
| 3.3 Automatic analysis of speaker states and traits |
| 3.4 Pathological speech and language |
| 3.5 Social signal processing |
| 3.6 Sentiment analysis and opinion mining |
| 3.7 Paralinguistics in singing |
| 3.8 Perception of paralinguistic phenomena |
| 3.9 Multimodal paralinguistics |
| 3.10 Phonetic and linguistic aspects of paralinguistics |
| 3.11 Special Session: Interspeech 2017 Computational Paralinguistics ChallengE (ComParE) |
| 3.12 Special Session: Voice Attractiveness |
4. Speaker and Language Identification
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| 4.1 Language identification and verification, language diarization and code switching |
| 4.2 Dialect and accent recognition |
| 4.3 Speaker verification and identification |
| 4.4 Features for speaker and language recognition |
| 4.5 Robustness to variable and degraded channels |
| 4.6 Speaker confidence estimation |
| 4.7 Speaker diarization |
| 4.8 Higher-level knowledge in speaker and language recognition |
| 4.9 Evaluation of speaker and language identification systems |
| 4.10 Multimodal/multimedia speaker recognition and diarization |
| 4.11 Special Session: Interspeech 2017 Automatic Speaker Verification Spoofing and Countermeasures Challenge |
5. Analysis of Speech and Audio Signals
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| 5.1 Speech acoustics |
| 5.2 Speech analysis and representation |
| 5.3 Audio signal analysis and representation |
| 5.4 Speech and audio segmentation and classification |
| 5.5 Voice activity detection |
| 5.6 Pitch and harmonic analysis |
| 5.7 Source separation and computational auditory scene analysis |
| 5.8 Speaker spatial localization |
| 5.9 Music signal processing and understanding |
| 5.10 Singing analysis |
6. Speech Coding and Enhancement
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| 6.1 Speech coding and transmission |
| 6.2 Low-bit-rate speech coding |
| 6.3 Perceptual audio coding of speech signals |
| 6.4 Noise reduction for speech signals |
| 6.5 Speech enhancement: single-channel |
| 6.6 Speech enhancement: multi-channel |
| 6.7 Speech intelligibility |
| 6.8 Active noise control |
| 6.9 Speech enhancement in hearing aids |
| 6.10 Adaptive beamforming for speech enhancement |
| 6.11 Dereverberation for speech signals |
| 6.12 Echo cancelation for speech signals |
| 6.13 Evaluation of speech transmission, coding and enhancement |
7. Speech Synthesis and Spoken Language Generation
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| 7.1 Grapheme-to-phoneme conversion for synthesis |
| 7.2 Text processing for speech synthesis |
| 7.3 Signal processing/statistical models for synthesis |
| 7.4 Speech synthesis paradigms and methods |
| 7.5 Articulatory speech synthesis |
| 7.6 Segment-level and/or concatenative synthesis |
| 7.7 Unit selection speech synthesis |
| 7.8 Statistical parametric speech synthesis |
| 7.9 Prosody modeling and generation |
| 7.10 Expression, emotion and personality generation |
| 7.11 Synthesis of singing voices |
| 7.12 Voice modification, conversion and morphing |
| 7.13 Concept-to-speech conversion |
| 7.14 Cross-lingual and multilingual aspects in speech synthesis, code switching |
| 7.15 Multimodal synthesis for avatars and talking heads |
| 7.16 Tools and data for speech synthesis |
| 7.17 Evaluation of speech synthesis |
| 7.18 Special Session: State of the art in physics-based voice simulation |
8. Speech Recognition — Signal Processing, Acoustic Modeling, Robustness and Adaptation
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| 8.1 Feature extraction and low-level feature modeling for ASR |
| 8.2 Prosodic features and models |
| 8.3 Robustness against noise, reverberation |
| 8.4 Far field and microphone array speech recognition |
| 8.5 Speaker normalization (e.g., VTLN) |
| 8.6 New types of neural network models and learning (e.g., new variants of DNN, CNN) |
| 8.7 Discriminative acoustic training methods for ASR |
| 8.8 Acoustic model adaptation (speaker, bandwidth, emotion, accent) |
| 8.9 Speaker adaptation, speaker adapted training methods |
| 8.10 Pronunciation variants and modeling for speech recognition |
| 8.11 Acoustic confidence measures |
| 8.12 Cross-lingual and multilingual aspects, non-native accents |
| 8.13 Acoustic modeling for conversational speech (dialog, interaction) |
9. Speech Recognition — Architecture, Search, and Linguistic Components
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| 9.1 Lexical modeling and access: units and models |
| 9.2 Automatic lexicon learning |
| 9.3 Supervised/unsupervised morphological models |
| 9.4 Prosodic features and models for language modeling |
| 9.5 Discriminative training methods for language modeling |
| 9.6 Language model adaptation (domain, diachronic adaptation) |
| 9.7 Language modeling for conversational speech (dialog, interaction) |
| 9.8 Neural networks for language modeling |
| 9.9 Search methods, decoding algorithms, lattices, multipass strategies |
| 9.10 New computational strategies, data-structures for ASR |
| 9.11 Computational resource constrained speech recognition |
| 9.12 Confidence measures |
| 9.13 Cross-lingual and multilingual components for speech recognition, code switching |
| 9.14 Structured classification approaches |
10. Speech Recognition — Technologies and Systems for New Applications
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| 10.1 Multimodal systems |
| 10.2 Applications in education and learning (incl. CALL, assessment of fluency) |
| 10.3 Applications in medical practice (CIS, voice assessment, etc.) |
| 10.4 Speech science in end-user applications |
| 10.5 Rich transcription |
| 10.6 Innovative products and services based on speech technologies |
| 10.7 Sparse, template-based representations |
| 10.8 New paradigms (e.g. artic. models, silent speech interfaces, topic models) |
| 10.9 Zero-resource speech recognition |
11. Spoken Dialog Systems and Analysis of Conversation
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| 11.1 Spoken dialog systems |
| 11.2 Discourse and dialog structures |
| 11.3 Multimodal interaction and interfaces |
| 11.4 Conversation, communication and interaction |
| 11.5 Analysis of verbal, co-verbal and nonverbal behavior |
| 11.6 Interactive systems for speech/language training, therapy, communication aids |
| 11.7 Stochastic modeling for dialog |
| 11.8 Question-answering from speech |
| 11.9 Spoken interaction with social robots |
| 11.10 Systems for spoken language understanding |
| 11.11 Evaluation of speech and multimodal dialog systems |
| 11.12 Special Session: Speech and Human-Robot Interaction |
| 11.13 Special Session: Incremental Processing and Responsive Behaviour |
12. Spoken Language Processing: Translation, Information Retrieval, Summarization, Resources and Evaluation
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| 12.1 Spoken machine translation |
| 12.2 Speech-to-speech translation systems |
| 12.3 Transliteration |
| 12.4 Voice search |
| 12.5 Spoken term detection |
| 12.6 Audio indexing |
| 12.7 Spoken document retrieval |
| 12.8 Systems for mining spoken data, search or retrieval of speech documents |
| 12.9 Speech and multimodal resources and annotation, code switching |
| 12.10 Evaluation of speech recognition |
| 12.11 Metadata descriptions of speech, audio and text resources |
| 12.12 Metadata for semantic or content markup |
| 12.13 Metadata for ling./discourse structure (disfluencies, boundaries, speech acts) |
| 12.14 Methodologies and tools for language resource construction and annotation |
| 12.15 Automatic segmentation and labeling of resources |
| 12.16 Multilingual resources |
| 12.17 Evaluation and quality insurance of language resources |
| 12.18 Evaluation of translation and information retrieval systems |
| 12.19 Spoken document summarization |
| 12.20 Semantic analysis and classification |
| 12.21 Entity extraction from speech |
| 12.22 Evaluation of summarization and understanding |
| 12.23 Topic spotting and classification |
| 12.24 Special Session: Digital Revolution for Under-resourced Languages |
