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?
- Voice Search for eCommerce – Mike Page, Phebi Inc – Voice Tech Podcast ep.04214th October 2019 - 22:11
- Airbnb Hospitality by Voice – Petar Ojdrovic, Home Service – Voice Tech Podcast ep.0418th October 2019 - 11:16
- Surveys by Voice – Stuart Crane, SurveyLine – Voice Tech Podcast ep.04030th September 2019 - 23:25
- High-tech Interpreters – Jonathan Rechtman, Cadence Translate – Voice Tech Podcast ep.03923rd September 2019 - 21:19