2 episodes

This podcast talks about speech recognition and text analytics, where the speakers are Mikko Kurimo, Professor at Aalto University and Dr. Mari-Sanna Paukkeri, CEO of Utopia Analytics. The podcast dives deeper into how speech recognition can understand what we say, our sentiments, different dialects and real use cases, for example in customer service. Since the pandemic started most companies have had to shift towards virtual meetings either through video or audio. Would these data be useful for machines to understand human behaviour?

https://utopiaanalytics.com/

Speech to text 2.0 Utopia Analytics

    • Technology

This podcast talks about speech recognition and text analytics, where the speakers are Mikko Kurimo, Professor at Aalto University and Dr. Mari-Sanna Paukkeri, CEO of Utopia Analytics. The podcast dives deeper into how speech recognition can understand what we say, our sentiments, different dialects and real use cases, for example in customer service. Since the pandemic started most companies have had to shift towards virtual meetings either through video or audio. Would these data be useful for machines to understand human behaviour?

https://utopiaanalytics.com/

    Speech to text 2.0: Episode 2

    Speech to text 2.0: Episode 2

    This podcast talks about speech recognition, where the speakers are Mikko Kurimo, Professor at Aalto University and Mari-Sanna Paukkeri, CEO of Utopia Analytics. From our previous episode, it is evident that there is a huge amount of data being collected for speech recognition. But, can they be used for text analytics? In this episode, they would talk about where we are now with text analytics and the use cases, for example, in customer service.

    • 5 min
    Speech to text 2.0: Episode 1

    Speech to text 2.0: Episode 1

    This podcast talks about speech recognition, where the speakers are Mikko Kurimo, Professor at Aalto University and Mari-Sanna Paukkeri, CEO of Utopia Analytics. In this episode, they would talk about where does speech recognition stand today, where does one of the top six hardest language in the world stand today for speech recognition and where to collect data for speech recognition, for example, are the data from the speeches of politicians usable?

    • 6 min

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