"The goal is to create a personality but not to trick the user into thinking they are talking to a human being. For example, Amazon's Alexa never refers to itself as a human but rather as digital entity. The overall goal is to leverage the communication system that users learned first and know best: conversation."

podcast radio articles complémentaires : https://siecledigital.fr/2018/11/21/alexa-voix-presentateur/ https://developer.amazon.com/fr/blogs/alexa/post/7ab9665a-0536-4be2-aaad-18281ec59af8/varying-speaking-styles-with-neural-text-to-speech

Lorsque la réservation passe uniquement par la voix, à travers des assistants vocaux comme Alexa ou Google Assistant, "la marque existe dans un écosystème qui n'est pas le sien", analyse Alexandre Viros. Mais passer à côté de cette technologie "serait une erreur majeure", ajoute-t-il. Si OUI.sncf tâtonne encore pour savoir comment développer le conversationnel, le site e-commerce se positionne clairement sur ce créneau afin d'être au rendez-vous quand le e-commerce vocal s'imposera. Allant dans ce sens, OUI.sncf s'est rapproché d'Allo Media. La start-up française a développé une technologie d'intelligence artificielle qui permet d'analyser les conversations téléphoniques entre un client et une marque.

"Monoprix, puis Auchan, Carrefour et Leclerc... tous ont bien compris comment la voix allait révolutionner le commerce et initient des partenariats avec les GAFA."

page 15 "[...], we are also seeing personal assistants, like Alexa and Siri, seeking to pick up on the emotional undertones of human speech, with companies even going so far as to patent methods of marketing based on detecting emotions, as well as mental and physical health. The AI-enabled emotion measurement company Affectiva now promises it can promote safer driving by monitoring "driver and occupant emotions, cognitive states, and reactions to the driving experience...from face and voice." Yet there is little evidence that any of these systems actually work across different individuals, contexts, and cultures, or have any safeguards put in place to mitigate concerns about privacy, bias, or discrimination in their operation. Furthermore, as we have seen in the large literature on bias and fairness, classifications of this nature not only have direct impacts on human lives, but also serve as data to train and influence other AI systems. This raises the stakes for any use of affect recognition, further emphasizing why it should be critically examined and its use severely restricted."

nouvelle bulle de filtre ?

"Aujourd'hui, nous avons une logique expérientielle, nous croyons beaucoup dans la voix" Florence Chaffiote Directrice Marketing, Digital et Innovation de Monoprix.

"In her talk, called "Memoirs of Geisha: Building AI without gender bias," [Laura Andina, a Product Manager at Telefonica Digital] explained AI's gender bias by taking a look at Apple's pioneering of skeuomorphic design - a design method that replicates what a product would look like in real-life, as well as taking into account how the physical product would be used." "Receptionists, customer service representatives, and assistants have traditionally been female-dominated careers. Women have had to be helpful, friendly, and patient because it's their job. The skeuomorphic design of an AI assistant therefore would be female. For Andina, it's essential to break these gender biases in design to be able to make real-world changes. If new technology would stop peddling old stereotypes, women would have an easier time moving up the ranks professionally without being cast as assistants or any other "helpful" stereotype." "To avoid hardwiring sexism and gender bias into our future, one possible solution, according to Andina, would be providing a genderless voice for AI technology. But it won't be easy to make - most genderless voices sound too robotic. Human-sounding voices are more trustworthy, so this could deter users."

"You can train Alexa to recognize you by creating a voice profile. After you set up your profile, Alexa can call you by your name and deliver personalized results based on your voice. Further, Alexa can distinguish your voice from those of other people in the house. Anyone over the age of 13 can create a voice profile."

"Voice search may also make it easier for a customer to leave reviews, as well as increase the importance of them. Rather than having to log in and type out a review, it can be as simple as your device asking you, "How do you like the backpack you ordered? How many stars would you give that product?" This becomes important when it comes time to shop: Nearly 85% of voice shoppers are confident in the recommendations given to them by their digital assistants. Having great reviews will be more important than ever -- otherwise, a product runs the risk of never being seen by the voice shopper." "My biggest advice to brands is to start by having a defined voice engine optimization strategy. Once you define your strategy, you should work on building a keyword list specific to voice search. "

"On December 2 at the 2018 Neural Information Processing Systems conference, one of the largest annual gatherings for AI research, Alibaba demoed the AI customer service agent for its logistics company Cainiao. Jin Rong, the dean of Alibaba's Machine Intelligence and Technology Lab, said the agent is already servicing millions of customer requests a day."

Free a intégré l'assistant vocal Alexa à sa nouvelle Freebox Delta. Il s'agit donc, aussi, d'une enceinte connectée et intelligente. Un bouton est présent pour activer/désactiver l'assistant vocal. Free a aussi inventé : "Ok Freebox". On peut ainsi contrôler son téléviseur à la voix.

"Danielle Reubenstein, executive creative director in the mobile division of the ad agency Possible, said she had been urging brands to view smart speakers as a way to connect with people rather than as a means to sell products - at least for now." "These are still early days for marketing on voice devices. Ms. Reubenstein compared it to when brands began making apps for mobile devices. But over time, she said, voice interactions will begin to replace many of the activities that people are conducting on screens."

Vidéo "scénario extrême" - intrusion dans le quotidien d'une famille

Le projet Common Voice est une initiative de Mozilla pour aider à apprendre aux machines à parler comme tout un chacun.