Comunicación enriquecida a lo largo de la vida

  1. Winneke, Axel
  2. Hernáez Rioja, Inmaculada
  3. Cooke, Martin
  4. King, Simon
  5. Hazan, Valerie
  6. Stylianou, Yannis
  7. Janse, Esther
  8. Baskent, Deniz
  9. Hohmann, Volker
Revista:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Any de publicació: 2019

Número: 63

Pàgines: 175-178

Tipus: Article

Altres publicacions en: Procesamiento del lenguaje natural

Resum

Speech is a hugely efficient means of communication: a reduced capacity in listening or speaking creates a significant barrier to social inclusion at all points through the lifespan, in education, work and at home. Hearing devices and speech synthesis can help address this reduced capacity but their use imposes greater listener effort. The goal of the EU-funded ENRICH project is to modify or augment speech with additional information to make it easier to process. Enrichment reduces listening burden by minimising cognitive load, while maintaining or improving intelligibility. ENRICH investigates the relationship between cognitive effort and natural and synthetic speech. Non-intrusive metrics for listening effort will be developed and used to design modification techniques which result in low-burden speech. The value of various enrichment approaches will be evaluated with individuals and cohorts with typically sub-optimal communication ability, such as children, hearing-or speech-impaired adults, non-native listeners and individuals engaged in simultaneous tasks. |

Informació de finançament

ENRICH has received funding from the EU H2020 research and innovation programme under MSCA GA 675324.

Finançadors

    • MSCA GA 675324

Referències bibliogràfiques

  • Cooke, M., C. Mayo, C. Valentini-Botinhao, Y. Stylianou, B. Sauert, and Y. Tang. 2013. Evaluating the intelligibility benefit of speech modifications in known noise conditions. Speech Communication, 55:572-585.
  • Godoy, E. and Y. Stylianou. 2013. Increasing speech intelligibility via spectral shaping with frequency warping and dynamic range compression plus transient enhancement. In Proc. Interspeech, pages 3572-3576.
  • Govender, A. and S. King. 2018. Using Pupillometry to Measure the Cognitive Load of Synthetic Speech. In Proc. Interspeech 2018, pages 2838-2842.
  • Hornsby, B. 2013. The effects of hearing aid use on listening effort and mental fatigue associated with sustained speech processing demands. Ear Hearing, 34:523-534.
  • Kain, A., J.-P. Hosom, X. Niu, J. van Santen, M. Fried-Oken, and J. Staehely. 2007. Improving the intelligibility of dysarthric speech. Speech Communication, 49:743-759.
  • Kaplan, E., A. Wagner, and D. Baskent. 2018. Are musicians at an advantage when processing speech on speech? In Proceedings of ICMPC15/ESCOM10. Graz, Austria: Centre for Systematic Musicology, University of Graz.
  • Pals, C., A. Sarampalis, and D. Baskent. 2013. Listening effort with cochlear implant simulations. J. Speech Hearing Language Res., 56:1075-1084.
  • Rönnberg, J., M. Rudner, T. Lunner, and A. A. Zekveld. 2010. When cognition kicks in: Working memory and speech understanding in noise. Noise and Health, 12:263-269.
  • Sauert, B. and P. Vary. 2006. Near end listening enhancement: Speech intelligibility improvement in noisy environments. In Proc. ICASSP, pages 493-496, Toulouse, France, May.
  • Shifas, M., V. Tsiaras, and Y. Stylianou. 2018. Speech Intelligibility Enhancement Based on a Non-causal Wavenet-like Model. In Proc. Interspeech 2018, pages 1868-1872.
  • Simantiraki, O., M. Cooke, and S. King. 2018. Impact of Different Speech Types on Listening Effort. In Proc. Interspeech 2018, pages 2267-2271.
  • Skowronski, M. D. and J. G. Harris. 2006. Applied principles of clear and Lombard speech for automated intelligibility enhancement in noisy environments. Speech Communication, 48(5):549-558.
  • Taal, C. H., J. Jensen, and A. Leijon. 2013. On optimal linear filtering of speech for near-end listening enhancement. IEEE Signal Proc. Let., 20(3):225-228.
  • Tang, Y., B. Fazenda, and T. Cox. 2018. Automatic speech-to-background ratio selection to maintain speech intelligibility in broadcasts using an objective intelligibility metric. Applied Sciences, 8:59, 01.
  • Zorila, T., V. Kandia, and Y. Stylianou. 2012. Speech-in-noise intelligibility improvement based on spectral shaping and dynamic range compression. In Proc. Interspeech, pages 635-638.