[PDF][PDF] Corpus annotation through crowdsourcing: Towards best practice guidelines.
Crowdsourcing is an emerging collaborative approach that can be used for the acquisition of
annotated corpora and a wide range of other linguistic resources. Although the use of this …
annotated corpora and a wide range of other linguistic resources. Although the use of this …
Using the Amazon Mechanical Turk for transcription of spoken language
M Marge, S Banerjee… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
We investigate whether Amazon's Mechanical Turk (MTurk) service can be used as a
reliable method for transcription of spoken language data. Utterances with varying speaker …
reliable method for transcription of spoken language data. Utterances with varying speaker …
[PDF][PDF] Cheap, fast and good enough: Automatic speech recognition with non-expert transcription
S Novotney, C Callison-Burch - … of the North American Chapter of …, 2010 - aclanthology.org
Deploying an automatic speech recognition system with reasonable performance requires
expensive and time-consuming in-domain transcription. Previous work demonstrated that …
expensive and time-consuming in-domain transcription. Previous work demonstrated that …
[图书][B] Corpus linguistics for online communication: A guide for research
L Collins - 2019 - taylorfrancis.com
Corpus Linguistics for Online Communication provides an instructive and practical guide to
conducting research using methods in corpus linguistics in studies of various forms of online …
conducting research using methods in corpus linguistics in studies of various forms of online …
Respeak: A voice-based, crowd-powered speech transcription system
Speech transcription is an expensive service with high turnaround time for audio files
containing languages spoken in developing countries and regional accents of well …
containing languages spoken in developing countries and regional accents of well …
[PDF][PDF] Collecting Voices from the Cloud.
The collection and transcription of speech data is typically an expensive and time-
consuming task. Voice over IP and cloud computing are poised to eliminate this impediment …
consuming task. Voice over IP and cloud computing are poised to eliminate this impediment …
[PDF][PDF] Speaking to the Crowd: Looking at Past Achievements in Using Crowdsourcing for Speech and Predicting Future Challenges.
G Parent, M Eskenazi - Interspeech, 2011 - Citeseer
This paper examines the literature on the use of crowdsourcing for speech-related tasks:
speech acquisition, transcription and annotation as well as the assessment of speech …
speech acquisition, transcription and annotation as well as the assessment of speech …
Using different acoustic, lexical and language modeling units for ASR of an under-resourced language–Amharic
MY Tachbelie, ST Abate, L Besacier - Speech Communication, 2014 - Elsevier
State-of-the-art large vocabulary continuous speech recognition systems use mostly phone
based acoustic models (AMs) and word based lexical and language models. However …
based acoustic models (AMs) and word based lexical and language models. However …
Crowdsourcing content analysis for managerial research
C Conley, J Tosti-Kharas - Management Decision, 2014 - emerald.com
Purpose–The purpose of this paper is to evaluate the effectiveness of a novel method for
performing content analysis in managerial research–crowdsourcing, a system where …
performing content analysis in managerial research–crowdsourcing, a system where …
Speeching: Mobile crowdsourced speech assessment to support self-monitoring and management for people with Parkinson's
We present Speeching, a mobile application that uses crowdsourcing to support the self-
monitoring and management of speech and voice issues for people with Parkinson's (PwP) …
monitoring and management of speech and voice issues for people with Parkinson's (PwP) …