Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Informatics  /  Vol: 6 Par: 4 (2019)  /  Artículo
ARTÍCULO
TITULO

Speech Synthesis in the Translation Revision Process: Evidence from Error Analysis, Questionnaire, and Eye-Tracking

Dragos Ciobanu    
Valentina Ragni and Alina Secara    

Resumen

Translation revision is a relevant topic for translator training and research. Recent technological developments justify increased focus on embedding speech technologies?speech synthesis (text-to-speech) and speech recognition (speech-to-text)?into revision workflows. Despite some integration of speech recognition into computer-assisted translation (CAT)/translation environment tools (TEnT)/Revision tools, to date we are unaware of any CAT/TEnT/Revision tool that includes speech synthesis. This paper addresses this issue by presenting initial results of a case study with 11 participants exploring if and how the presence of sound, specifically in the source text (ST), affects revisers? revision quality, preference and viewing behaviour. Our findings suggest an improvement in revision quality, especially regarding Accuracy errors, when sound was present. The majority of participants preferred listening to the ST while revising, but their self-reported gains on concentration and productivity were not conclusive. For viewing behaviour, a subset of eye-tracking data shows that participants focused more on the target text (TT) than the source regardless of the revising condition, though with differences in fixation counts, dwell time and mean fixation duration (MDF). Orientation and finalisation phases were also identified. Finally, speech synthesis appears to increase perceived alertness, and may prompt revisers to consult external resources more frequently.

 Artículos similares

       
 
Víctor García, Inma Hernáez and Eva Navas    
In this paper, we describe the implementation and evaluation of Text to Speech synthesizers based on neural networks for Spanish and Basque. Several voices were built, all of them using a limited number of data. The system applies Tacotron 2 to compute m... ver más
Revista: Applied Sciences

 
Jerry Gibson and Hoontaek Oh    
Speech coding is an essential technology for digital cellular communications, voice over IP, and video conferencing systems. For more than 25 years, the main approach to speech coding for these applications has been block-based analysis-by-synthesis line... ver más
Revista: Information

 
Noé Tits, Kevin El Haddad and Thierry Dutoit    
In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control. The dataset is the Blizzard 2013 dataset based on audiobooks read by a female speaker containing a great variability in styles and expr... ver más
Revista: Informatics

 
Bulat Nutfullin,Eugene Ilyushin     Pág. 14 - 20
Speech is a specific feature of human and his advantage over other species within evolution. Sound diarization is a process of sound separation, taking into account belonging to the speaker. Before the advent of deep learning and the ... ver más

 
Sung Jun Cheon, Joun Yeop Lee, Byoung Jin Choi, Hyeonseung Lee and Nam Soo Kim    
End-to-end neural network-based speech synthesis techniques have been developed to represent and synthesize speech in various prosodic style. Although the end-to-end techniques enable the transfer of a style with a single vector of style representation, ... ver más
Revista: Applied Sciences