INTERSPEECH 2022

1. Speech Perception, Production and Acquisition by Human Listeners

• 1.1 Models of speech production
• 1.2 Physiology and neurophysiology of speech production and perception
• 1.3 Models of speech perception
• 1.4 Acoustic and articulatory cues in speech perception
• 1.5 Interaction speech production-speech perception
• 1.6 Multimodal speech perception
• 1.7 Cognition and brain studies on speech
• 1.8 Code switching and multilingual studies
• 1.9 L1 acquisition and processing
• 1.10 Bilingual and L2 acquisition and processing
• 1.11 Combining speech and other biosignals
• 1.12 Other topics in Speech Perception, Production and Acquisition

2. Phonetics, Phonology, and Prosody

• 2.1 Phonetics and phonology
• 2.2 Language descriptions
• 2.3 Acoustic phonetics
• 2.4 Articulatory and acoustic features of prosody
• 2.5 Perception of prosody
• 2.6 Sociophonetics and sound changes
• 2.7 Phonetics of L1-L2 interaction
• 2.8 Forensic phonetics
• 2.9 Phonetic and linguistic aspects of paralinguistics
• 2.10 Other topics in Phonetics, Phonology, and Prosody

3. Paralinguistics in Speech and Language: Human and Automatic Analysis and Processing

• 3.1 Analysis of speaker states
• 3.2 Analysis of speaker traits
• 3.3 Automatic analysis of speaker states
• 3.4 Automatic analysis of speaker traits
• 3.5 Social signal processing
• 3.6 Sentiment analysis and opinion mining
• 3.7 Perception of paralinguistic phenomena
• 3.8 Multimodal paralinguistics
• 3.9 Other topics in Paralinguistics in Speech and Language

4. Speaker and Language Identification

• 4.1 Language identification and verification, language diarization
• 4.2 Dialect and accent recognition
• 4.3 Speaker verification and identification
• 4.4 Features for speaker and language recognition
• 4.5 Speaker diarization
• 4.6 Evaluation of speaker and language identification systems
• 4.7 Multimodal/multimedia speaker recognition and diarization
• 4.8 Other topics in Speaker and Language Identification

5. Analysis of Speech and Audio Signals

• 5.1 Bioacoustics
• 5.2 Speech signal analysis and representation
• 5.3 Acoustic event detection and acoustic scene classification
• 5.4 Speech and audio segmentation
• 5.5 Speech type classification
• 5.6 Voice activity detection and audio segmentation
• 5.7 Detection, inference, and segmentation of phonetic events and articulation
• 5.8 Source separation
• 5.9 Spatial audio
• 5.10 Singing analysis
• 5.11 Speech and audio quality assessment
• 5.12 Other topics in Analysis of Speech and Audio Signals

6. Speech Coding and Enhancement

• 6.1 Speech coding and transmission
• 6.2 Noise reduction for speech signals
• 6.3 Speech enhancement: single-channel
• 6.4 Speech enhancement: multi-channel
• 6.5 Speech intelligibility
• 6.6 Speech enhancement in hearing aids
• 6.7 Dereverberation for speech signals
• 6.8 Echo cancelation for speech signals
• 6.9 Evaluation of speech transmission, coding and enhancement
• 6.10 Bandwidth expansion
• 6.11 Privacy and security in speech communication
• 6.12 Other topics in Speech Coding and Enhancement

7. Speech Synthesis and Spoken Language Generation

• 7.1 Grapheme-to-phoneme conversion for synthesis
• 7.2 Text processing for speech synthesis
• 7.3 Signal processing methods for synthesis
• 7.4 Speech synthesis paradigms and methods
• 7.5 Towards end-to-end speech synthesis
• 7.6 Statistical parametric speech synthesis
• 7.7 Prosody modeling and generation
• 7.8 Expression, emotion and personality generation
• 7.9 Synthesis of singing voices
• 7.10 Voice modification, conversion and morphing
• 7.11 Cross-lingual and multilingual aspects in speech synthesis, code switching
• 7.12 Multimodal synthesis for avatars and talking heads
• 7.13 Tools and data for speech synthesis
• 7.14 Evaluation of speech synthesis
• 7.15 Other topics in Speech Synthesis and Spoken Language Generation

8. Speech Recognition: Signal Processing, Acoustic Modeling, Robustness, Adaptation

• 8.1 Feature extraction and low-level feature modeling for ASR
• 8.2 Prosodic features and models
• 8.3 Robustness against noise or reverberation
• 8.4 Far field and microphone array speech recognition
• 8.5 Novel neural network architectures (e.g. sequence models, LSTM variants)
• 8.6 Neural network training methods (including new objective functions)
• 8.7 Discriminative acoustic training methods for ASR
• 8.8 Acoustic model adaptation (bandwidth, emotion, accent)
• 8.9 Speaker adaptation and normalization
• 8.10 Pronunciation variants and modeling for speech recognition
• 8.11 Cross-lingual and multilingual aspects, non-native accents
• 8.12 Acoustic modeling for conversational speech (dialog, interaction)
• 8.13 Other topics in Speech Recognition: Signal Processing, Acoustic Modeling, Robustness, Adaptation

9. Speech Recognition: Architecture, Search, and Linguistic Components

• 9.1 Lexical modeling (lexicon learning, units, morphological models, …)
• 9.2 Language model adaptation (domain, diachronic adaptation)
• 9.3 Language modeling
• 9.4 Search methods, decoding algorithms, lattices, multipass strategies
• 9.5 New computational strategies, data-structures for ASR
• 9.6 Computational resource constrained speech recognition
• 9.7 Confidence measures
• 9.8 Cross-lingual and multilingual components for speech recognition, code switching
• 9.9 Other topics in Speech Recognition -Architecture, Search, and Linguistic Components

10. Speech Recognition: Technologies and Systems for New Applications

• 10.1 Multimodal systems
• 10.2 Applications in education and learning (incl. CALL, assessment of fluency)
• 10.3 Applications in medical practice
• 10.4 Rich transcription
• 10.5 Innovative products and services based on speech technologies
• 10.6 New paradigms (e.g. artic. models, topic models)
• 10.7 Zero-resource speech recognition
• 10.8 Other topics in Speech Recognition -Technologies and Systems for New Applications

11. Spoken Dialog Systems and Conversational Analysis

• 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 Language modeling for conversational speech (dialog, interaction)
• 11.7 Interactive systems for speech/language training, therapy, communication aids
• 11.8 Stochastic modeling for dialog
• 11.9 Question-answering from speech
• 11.10 Systems for spoken language understanding
• 11.11 Other topics in Spoken dialog systems and conversational analysis

12. Spoken Language Processing: Translation, Information Retrieval, Summarization, Resources and Evaluation

• 12.1 Spoken machine translation
• 12.2 Speech-to-speech translation systems
• 12.3 Voice search
• 12.4 Spoken term detection
• 12.5 Indexing, mining and retrieval of speech and audio documents
• 12.6 Speech and multimodal resources
• 12.7 Evaluation of speech technology systems
• 12.8 Metadata descriptions of speech, audio and text resources
• 12.9 Methodologies and tools for language resource construction, annotation and evaluation
• 12.10 Spoken document summarization
• 12.11 Semantic analysis and classification
• 12.12 Entity extraction from speech
• 12.13 Other topics in Spoken Language Processing: Translation, Information Retrieval, Summarization, Resources and Evaluation

13. Speech, Voice, and Hearing Disorders

• 13.1 Speech disorders
• 13.2 Voice disorders
• 13.3 Hearing disorders
• 13.4 Phonation and voice quality
• 13.5 Automatic assessment of pathological speech
• 13.6 Parkinson’s Disease
• 13.7 Dysarthric speech
• 13.8 Paralinguistics of pathological speech and language
• 13.9 Applications for voice, speech, and hearing assessment
• 13.10 Speech technology for disordered speech
• 13.11 Speech technology for disordered hearing
• 13.12 Speech technology for disordered voice
• 13.13 Silent speech interfaces
• 13.14 Other topics in Speech, voice, and hearing disorders