New technologies are being developed to address the social issue of AI voice and to make the technology as inclusive as possible.
Audio Analytic has already developed AI technology that can give devices a sense of hearing, accurately recognising sounds, beyond speech and music.
Natural language processing (NLP) has many applications such as…
Word2vec is arguably the most famous face of the neural network natural language processing revolution.
Leveraging website data with schema.org markup could become essential for voice app developers.
Amazon was invited to support the 3rd annual Makeathon, a 36-hour prototyping and design competition.
In machine learning, you need to know what’s in your audio data. Discover how data augmentation with codec compressed audio can help your models generalize.
The impact of voice assistants on today’s youth is actually more helpful than you may think. Luckily, there are a plethora of fun, sound-based games.
Artificial Emotional Intelligence is a relatively new field, but one in which there is tremendous activity. Supported by a plethora of new open-source tools and machine learning frameworks, a programmer can now build a first prototype of an emotion-aware dialog machine in about two working days. But how good is the technology? And how can we develop better emotion AI?
- The Emotion Machine – Rana Gujral, Behavioral Signals – Voice Tech Podcast ep.03518th August 2019 - 17:48
- Chatbot Vacations – Pranas Kiziela, Eddy Travels – Voice Tech Podcast ep.03412th August 2019 - 17:39
- Interactive Voice Ads – Stas Tushinskiy, Instreamatic – Voice Tech Podcast ep.0335th August 2019 - 11:07
- Talk with your Data – Adrien Schmidt, Aristotle – Voice Tech Podcast ep.03222nd July 2019 - 14:35