M4D m-Learning MOOC video8: Speech technologies A-Palalas

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In this short webinar Aga Palalas discusses selected speech technologies and their applications in mobile learning: how selected advanced speech technologies
can be utilized to enhance teaching and learning using mobile devices. To see the video go to: https://www.youtube.com/watch?feature=player_detailpage&v=LJTiSngVDME

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M4D m-Learning MOOC video8: Speech technologies A-Palalas

  1. 1. Speech Technologies and Their Applications in Mobile Learning Dr. Agnieszka (Aga) Palalas Prepared for M4D MOOC – October 2013 https://www.m4d-mooc.org/portal 1
  2. 2. Speech Technologies and Their Applications in Mobile Learning Outcome: To identify how selected speech technologies can be utilized to enhance teaching and learning using mobile devices. 2
  3. 3. Speech Technologies 1. Text-to-speech (TTS) 2. Automatic speech recognition (ASR) speech-to-text 3
  4. 4. Speech Recognition • Mobile audio search engine • Voice command and control • Dictation • Note-taking • Transcription of voicemails • Voice typing • Voice translation • Accessibility and inclusivity 4
  5. 5. Text-to-Speech • Reading back emails, messages, posts, notes • Books read to the user (Kindle) • Voice command and control • Audio dictionaries • Accessibility and inclusivity • MALL and literacy (Roux et al, 2010) 5
  6. 6. Mobile-Assisted Language Learning • Mobile-Assisted Language Learning – – – – – reading and speaking dictation communication, facilitation and feedback pronunciation practice (speech verification) speech analysis and language learning software (Godwin-Jones, 2009) – vocabulary practice (Kumar et al, 2012) • Phonetics and phonology (Linguistics) – speech signal processing (DSP) – patterns recognition (AI) 6
  7. 7. Other Advantages • • • • Voice-based tools - assistive technology Individualized attention Enforced feedback Learner-centered: own pace, preferences, autonomy • Repetition and rehearsal 7
  8. 8. Voice Recognition Mobile Apps Examples • ChaCha Answers • Google Mobile Apps • Vlingo • DriveSafe.ly Pro • Dragon Downloadable Apps • Jibbigo Voice Translation 8
  9. 9. Limitations • Limited success with spontaneous, natural foreign accented speech • Type of mobile device • Usability: tools • Usability: context • Usability: data consumption 9
  10. 10. Thank you! Dr. Agnieszka Palalas aga@epluslearning.com LinkedIn: http://www.linkedin.com/in/apalalas Presentations: http://www.slideshare.net/agaiza Publications: http://athabascau.academia.edu/apalalas References: • Godwin-Jones, R. (2009). Emerging technologies: Speech tools and technologies. Language Learning & Technology, 13(3), 4-11. • Kumar, A., Reddy, P., Tewari, A., Agrawal, R., & Kam, M. (2012, May). Improving literacy in developing countries using speech recognition-supported games on mobile devices. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems (pp. 1149-1158). ACM. • Roux, J., Scholtz, P., Klop, D., Povlsen, C., Jongejan, B., & Magnusdottir, A. (2010, May). Incorporating Speech Synthesis in the Development of a Mobile Platform for e-learning. In LREC. 10

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