
Contents
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
32.1 Introduction 32.1 Introduction
-
32.2 Automatic Speech Recognition 32.2 Automatic Speech Recognition
-
32.2.1 Front-End Transcription 32.2.1 Front-End Transcription
-
32.2.2 Automatic Transcription 32.2.2 Automatic Transcription
-
-
32.3 Non-Verbal Vocal Behaviour 32.3 Non-Verbal Vocal Behaviour
-
32.3.1 Analysis of Social Signals and Paralanguage 32.3.1 Analysis of Social Signals and Paralanguage
-
-
32.4 Conclusions 32.4 Conclusions
-
References References
-
-
-
-
-
-
-
-
-
-
32 Machine-Based Decoding of Voices and Human Speech
Get accessAlessandro Vinciarelli is Senior Lecturer (Associate Professor) at the School of Computing Science and Associate Academic of the Institute of Neuroscience and Psychology.
-
Published:04 October 2019
Cite
Abstract
This chapter provides an overview of the main approaches adopted in computing science to automatically extract information from speech signals. In particular, the chapter shows how the adoption of statistical models allows one to automatically transcribe speech recordings; that is, to automatically map the speech signals into sequences of words expected to correspond to what the speakers are actually saying. Furthermore, the chapter introduces the methodologies aimed at detecting the physical traces of social and psychological phenomena in speech, in particular when it comes to non-verbal and paralinguistic aspects. In both domains, the chapter outlines the main technological issues that need to be addressed in order to effectively process the data.
Sign in
Personal account
- Sign in with email/username & password
- Get email alerts
- Save searches
- Purchase content
- Activate your purchase/trial code
- Add your ORCID iD
Purchase
Our books are available by subscription or purchase to libraries and institutions.
Purchasing informationMonth: | Total Views: |
---|---|
October 2022 | 8 |
December 2022 | 8 |
January 2023 | 14 |
February 2023 | 6 |
March 2023 | 7 |
April 2023 | 5 |
May 2023 | 4 |
June 2023 | 4 |
July 2023 | 2 |
August 2023 | 8 |
September 2023 | 5 |
October 2023 | 7 |
November 2023 | 2 |
December 2023 | 5 |
January 2024 | 3 |
February 2024 | 1 |
March 2024 | 5 |
April 2024 | 2 |
May 2024 | 4 |
June 2024 | 2 |
July 2024 | 3 |
August 2024 | 2 |
October 2024 | 3 |
November 2024 | 3 |
February 2025 | 3 |
May 2025 | 2 |
Get help with access
Institutional access
Access to content on Oxford Academic is often provided through institutional subscriptions and purchases. If you are a member of an institution with an active account, you may be able to access content in one of the following ways:
IP based access
Typically, access is provided across an institutional network to a range of IP addresses. This authentication occurs automatically, and it is not possible to sign out of an IP authenticated account.
Sign in through your institution
Choose this option to get remote access when outside your institution. Shibboleth/Open Athens technology is used to provide single sign-on between your institution’s website and Oxford Academic.
If your institution is not listed or you cannot sign in to your institution’s website, please contact your librarian or administrator.
Sign in with a library card
Enter your library card number to sign in. If you cannot sign in, please contact your librarian.
Society Members
Society member access to a journal is achieved in one of the following ways:
Sign in through society site
Many societies offer single sign-on between the society website and Oxford Academic. If you see ‘Sign in through society site’ in the sign in pane within a journal:
If you do not have a society account or have forgotten your username or password, please contact your society.
Sign in using a personal account
Some societies use Oxford Academic personal accounts to provide access to their members. See below.
Personal account
A personal account can be used to get email alerts, save searches, purchase content, and activate subscriptions.
Some societies use Oxford Academic personal accounts to provide access to their members.
Viewing your signed in accounts
Click the account icon in the top right to:
Signed in but can't access content
Oxford Academic is home to a wide variety of products. The institutional subscription may not cover the content that you are trying to access. If you believe you should have access to that content, please contact your librarian.
Institutional account management
For librarians and administrators, your personal account also provides access to institutional account management. Here you will find options to view and activate subscriptions, manage institutional settings and access options, access usage statistics, and more.