MUI (Mobile User Interface)
VUI (Voice User Interface) GUI (Graphical User Interface) ARI (Augmented Reality Interface) |
Notes:
Embodied agents are artificial intelligence (AI) systems that are designed to interact with users in a way that is similar to how a human would interact. These agents are typically designed to have a body or physical form that allows them to move and interact with their environment in a natural way.
Embodied agents can take many different forms, including robots, virtual assistants, or other types of avatars. They can be designed to interact with users through a variety of channels, such as text, speech, or visual displays.
Embodied agents are used for a wide range of applications, including customer service, education, entertainment, and more. They can be used to provide information, answer questions, or perform tasks for users. They can also be used to provide emotional support or companionship, or to serve as a social or therapeutic tool.
One of the main benefits of embodied agents is that they can provide a more natural and immersive experience for users, as they can interact with users in a way that is similar to how a human would. This can make them more engaging and effective for certain types of applications, particularly those that involve social or emotional interactions.
Speech and voice are related to embodiment in several ways. One way in which they are related is that they can be used to give embodied agents a more human-like appearance and presence. For example, an embodied agent that is designed to interact with users through speech or voice can be programmed to speak in a natural, human-like way, with appropriate inflection, pitch, and tone. This can help the agent to appear more lifelike and engaging to users.
Another way in which speech and voice are related to embodiment is that they can be used to allow embodied agents to interact with users in a more natural and intuitive way. For example, an embodied agent that is designed to understand and respond to spoken commands can allow users to interact with it simply by speaking aloud. This can make the agent more accessible and convenient for users, as they do not need to use specialized input devices or learn complex commands in order to use it.
Resources:
- acapela-group.com .. a european leader of voice solutions
- cepstral.com .. text to speech for personal, business, and enterprise
- cereproc.com .. advanced speech synthesis research
- freetts.sourceforge.net .. speech synthesizer written in the java
- github.com/marytts .. open-source, multilingual text-to-speech synthesis
- ispeech.org .. free tts and asr apis and sdk
- lumenvox.com .. ai speech recognition and voice authentication
- readspeaker.ai .. breathes life into conversational ai
- voiceforge.com .. easy and fun way to explore synthesized voice
Wikipedia:
References:
- 2011 Proceedings Afeka-AVIOS Speech Processing Conference
- Advances in Commercial Deployment of Spoken Dialog Systems (2011)
- Domain-Level Reasoning for Spoken Dialogue Systems (2011)
- Proceedings of the Paralinguistic Information and Its Integration in Spoken Dialogue Systems Workshop (2011)
- Speech and Language Technologies (2011)
- Speech Processing and Soft Computing (2011)
- Spoken Language Understanding: Systems for Extracting Semantic Information from Speech (2011)
- Text, Speech and Dialogue (2011)
See also:
100 Best Kinect Voice Videos | 100 Best Samsung Voice Videos | 100 Best SecondLife Voice Videos | 100 Best Smart Home Voice Control Videos | 100 Best Speech API Videos | 100 Best Speech Synthesis Videos | 100 Best Speech Synthesizer Videos | 100 Best Voice Actions Videos | 100 Best Voicent Videos | Ariadne Spoken Dialogue System | Best Ivona TTS Videos | Best Kinect Speech Videos | Best NeoSpeech Videos | Best Voice-O-Matic Videos | CLASSiC (Computational Learning in Adaptive Systems for Spoken Conversation) | SALT (Speech Application Language Tags) & Dialog Systems | Spoken Dialog Systems 2012 | SSML (Speech Synthesis Markup Language) & Dialog Systems
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