Speech and Computer : 22nd International Conference, SPECOM 2020, St. Petersburg, Russia, October 7-9, 2020, Proceedings / edited by Alexey Karpov, Rodmonga Potapova.

Format:

Book

Contributor:

Karpov, Alexey, Editor.

Potapova, Rodmonga., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 12335

Lecture Notes in Artificial Intelligence, 2945-9141 ; 12335

Language:

English

Subjects (All):

Artificial intelligence.

Social sciences-Data processing.

Education-Data processing.

Data mining.

Application software.

Image processing-Digital techniques.

Computer vision.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computers and Education.

Data Mining and Knowledge Discovery.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (XIV, 689 pages) : 222 illustrations, 155 illustrations in color.

Edition:

1st ed. 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 22nd International Conference on Speech and Computer, SPECOM 2020, held in St. Petersburg, Russia, in October 2020. The 65 papers presented were carefully reviewed and selected from 160 submissions. The papers present current research in the area of computer speech processing including speech science, speech technology, natural language processing, human-computer interaction, language identification, multimedia processing, human-machine interaction, deep learning for audio processing, computational paralinguistics, affective computing, speech and language resources, speech translation systems, text mining and sentiment analysis, voice assistants, et cetera Due to the Corona pandemic SPECOM 2020 was held as a virtual event.

Contents:

Lightweight CNN for Robust Voice Activity Detection

Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset

MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition

Exploration of End-to-End ASR for OpenSTT - Russian Open Speech-to-Text Dataset

Directional Clustering with Polyharmonic Phase Estimation for Enhanced Speaker Localization

Speech Emotion Recognition using Spectrogram Patterns as Features

Pragmatic Markers in Dialogue and Monologue: Difficulties of Identification and Typical Formation Models

Data Augmentation and Loss Normalization for Deep Noise Suppression

Automatic Information Extraction from Scanned Documents

Dealing with Newly Emerging OOVs in Broadcast Programs by Daily Updates of the Lexicon and Language Model

A Rumor Detection in Russian Tweets

Automatic Prediction of Word form Reduction in Russian Spontaneous Speech

Formant Frequency Analysis of MSA Vowels in Six Algerian Regions

Emotion Recognition and Sentiment Analysis of Extemporaneous Speech Transcriptions in Russian

Predicting a Cold from Speech using Fisher Vectors; SVM and XGBoost as Classifiers

Toxicity in Texts and Images on the Internet

An Automated Pipeline for Robust Image Processing and Optical Character Recognition of Historical Documents

Lipreading with LipsID

Automated Destructive Behavior State Detection on the 1D CNN-based Voice Analysis

Rhythmic Structures of Russian Prose and Occasional Iambs (a Diachronic Case Study)

Automatic Detection of Backchannels in Russian Dialogue Speech

Experimenting with Attention Mechanisms in Joint CTC-Attention Models for Russian Speech Recognition

Comparison of Deep Learning Methods for Spoken Language Identification

Conceptual Operations with Semantics for a Companion Robot

Legal Tech: Documents' Validation Method Based on the Associative-Ontological Approach

Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition

CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition

Stylometrics Features under Domain Shift: Do they Really "Context-independent"

Speech Features of 13-15 Year-old Children with Autism Spectrum Disorders

Multi-corpus Experiment on Continuous Speech Emotion Recognition: Convolution or Recurrence

Detection of Toxic Language in Short Text Messages

Transfer Learning in Speaker's Age and Gender Recognition

Interactivity-based Quality Prediction of Conversations with Transmission Delay

Graphic Markers of Irony and Sarcasm in Written Texts

Digital Rhetoric 2.0: How to Train Charismatic Speaking with Speech-melody Visualization Software

Generating a Concept Relation Network for Turkish Based on ConceptNet Using Translational Methods

Bulgarian Associative Dictionaries in the LABLASS Web-based System

Preliminary Investigation of Potential Steganographic Container Localization

Some Comparative Cognitive and Neurophysiological Reactions to Code-modified Internet Information

The Influence of Multimodal Polycode Internet Content on Human Brain Activity

Synthetic Speech Evaluation by Differential Maps in Pleasure-Arousal Space

Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments

Evaluation of Voice Mimicking using i-vector Framework

Score Normalization of x-vector Speaker Verification System for Short-duration Speaker Verification Challenge

Genuine Spontaneous vs Fake Spontaneous Speech: in Search of Distinction

Mixing Synthetic and Recorded Signals for Audio-book Generation

Temporal Concord in Speech Interaction: Overlaps and Interruptions in Spoken American English

Cognitively Challenging: Language Shift and Speech Rate of Academic Bilinguals

Toward Explainable Automatic Classification of Children's Speech Disorders

Recognition Performance of Selected Speech Recognition APIs - A Longitudinal Study

Does A Priori Phonological Knowledge Improve Cross-Lingual Robustness of Phonemic Contrasts

Can We Detect Irony in Speech Using Phonetic Characteristics Only? - Looking for a Methodology of Analysis

Automated Compilation of a Corpus-based Dictionary and Computing Concreteness Ratings of Russian

Increasing the Accuracy of the ASR System by Prolonging Voiceless Phonemes in the Speech of Patients using the Electrolarynx

Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization

Uncertainty of Phone Voicing and its Impact on Speech Synthesis

Grappling with Web Technologies: the Problems of Remote Speech Recording

Robust Noisy Speech Parameterization Using Convolutional Neural Networks

More than Words: Cross-Linguistic Exploration of Parkinson's Disease Identification from Speech

Phonological Length of L2 Czech Speakers' Vowels in Ambiguous Contexts as Perceived by L1 Listeners

Learning an Unsupervised and Interpretable Representation of Emotion from Speech

Synchronized Forward-Backward Transformer for End-to-End Speech Recognition

KazNLP: a Pipeline for Automated Processing of Texts Written in Kazakh Language

Diarization based on Identification with x-vectors

Different Approaches in Cross-Language Similar Documents Retrieval in the Legal Domain.

Other Format:

Printed edition:

ISBN:

978-3-030-60276-5

9783030602765

Access Restriction:

Restricted for use by site license.