I've been working on the problem of speaker diarization in the wild for better part of this year. Would love to have a chat with you to see if our diarization utility can help you guys out. Here is the link: https://www.deepaffects.com/apis
DeepAffects | Mumbai, India | Machine Learning Engineers, Data Engineers | Full-time | Onsite
DeepAffects (https://www.deepaffects.com) is a next-generation Enterprise Speech Analytics Company. We solve problems in speech domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are -
* Speaker Diarization on mono-channel recordings in noisy environment.
* Low latency Speech Enhancement.
* Audio Redaction for PII data. Think GDPR compliance directly on audio.
DeepAffects | Mumbai, India | Machine Learning Engineers, Data Engineers | Full-time, Interns | Onsite
At DeepAffects (https://www.deepaffects.com) we're building next generation Speech Analytics for Enterprises. We're working on interesting research problems and putting them into production. Some of the problems that we've worked on in the past:
We're serving various enterprises across the globe and are hiring ML Engineers and Data Engineers to help us scale and solve many such interesting problems.
Take a look at the Coursera specialization: Mathematics for Machine Learning [1]. The specialization isn't free but you can certainly apply for financial aid.
I'm currently using Google Cloud Storage for storing and archiving data. Using regional storage has helped us while running production jobs which ingest this data. Once the data is processed, we move to coldline storage for archiving.
My email is in my profile.