"Human, All Too Human": NOAA Weather Radio and the Emotional Impact of Synthetic Voices

The integration of text-to-speech into an open technology stack for low-power FM community radio stations is an opportunity to automate laborious processes and increase accessibility to information in remote communities. However, there are open questions as to the perceived contrast of synthetic voices with the local and intimate format of community radio. This paper presents an exploratory focus group on the topic, followed by a thematic analysis of public comments on YouTube videos of the synthetic voices used for broadcasting by National Oceanic and Atmospheric Administration (NOAA) Weather Radio. We find that despite observed reservations about the suitability of TTS for radio, there is significant evidence of anthropomorphism, nostalgia and emotional connection in relation to these voices. Additionally, introduction of a more "human sounding" synthetic voice elicited significant negative feedback. We identify pronunciation, speed, suitability to content and acknowledgment of limitations as more relevant factors in listeners' stated sense of connection.

[1]  Paul Boersma,et al.  Praat: doing phonetics by computer , 2003 .

[2]  Gunnar Harboe,et al.  Real-World Affinity Diagramming Practices: Bridging the Paper-Digital Gap , 2015, CHI.

[3]  Benjamin R. Cowan,et al.  Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction , 2019, MobileHCI.

[4]  Benjamin R. Cowan,et al.  Siri, Echo and Performance: You have to Suffer Darling , 2019, CHI Extended Abstracts.

[5]  Jude Mukundane,et al.  RootIO: ICT + telephony for grassroots radio , 2016, 2016 IST-Africa Week Conference.

[6]  Norbert Schwarz,et al.  Use does not wear ragged the fabric of friendship: Thinking of objects as alive makes people less willing to replace them , 2010 .

[7]  Paul Boersma,et al.  Praat, a system for doing phonetics by computer , 2002 .

[8]  Heloir,et al.  The Uncanny Valley , 2019, The Animation Studies Reader.

[9]  Benjamin R. Cowan,et al.  What's in an accent?: the impact of accented synthetic speech on lexical choice in human-machine dialogue , 2019, CUI.

[10]  Zhizheng Wu,et al.  Merlin: An Open Source Neural Network Speech Synthesis System , 2016, SSW.

[11]  Clifford Nass,et al.  Similarity is more important than expertise: accent effects in speech interfaces , 2007, CHI.

[12]  Clifford Nass,et al.  Can computer-generated speech have gender?: an experimental test of gender stereotype , 2000, CHI Extended Abstracts.

[13]  Karl F. MacDorman,et al.  The Uncanny Valley [From the Field] , 2012, IEEE Robotics Autom. Mag..

[14]  Abigail Sellen,et al.  "Like Having a Really Bad PA": The Gulf between User Expectation and Experience of Conversational Agents , 2016, CHI.

[15]  Karen Holtzblatt Introduction to special section on contextual design , 1999, INTR.

[16]  Björn W. Schuller,et al.  The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech , 2018, INTERSPEECH.

[17]  Petr Motlícek,et al.  Idlak Tangle: An Open Source Kaldi Based Parametric Speech Synthesiser Based on DNN , 2016, INTERSPEECH.

[18]  Benjamin R. Cowan,et al.  "What can i help you with?": infrequent users' experiences of intelligent personal assistants , 2017, MobileHCI.

[19]  Henning Pohl,et al.  Chats with Bots: Balancing Imitation and Engagement , 2019, CHI Extended Abstracts.

[20]  Felix Burkhardt,et al.  Is 'not bad' good enough? Aspects of unknown voices' likability , 2012, INTERSPEECH.

[21]  D. Giles Parasocial Interaction: A Review of the Literature and a Model for Future Research , 2002 .

[22]  C. Nass,et al.  Machines and Mindlessness , 2000 .

[23]  Lynne Baillie,et al.  Evaluating speech synthesis in a mobile context: Audio presentation of Facebook, Twitter and RSS , 2013, Proceedings of the ITI 2013 35th International Conference on Information Technology Interfaces.

[24]  Daniel Povey,et al.  The Kaldi Speech Recognition Toolkit , 2011 .

[25]  Clifford Nass,et al.  Does computer-generated speech manifest personality? an experimental test of similarity-attraction , 2000, CHI.