Deepgram, a YC backed startup using machine learning to analyze audio data for businesses, is open sourcing an internal deep learning tool called Kur. The release should further help those interested in the space get their ideas off the ground more easily. The startup is also including 10 hours of transcribed audio, spliced into 10 second increments, to expedite the training process.
Similar to Keras , Kur further abstracts the process of building and training deep learning models. By making deep learning easier, Kur is also making image recognition and speech analysis more accessible.
Scott Stephenson, CEO of Deepgram, explained to me that when the company was first getting off the ground, the team used LibriSpeech, an online dataset of audiobooks in the public domain split up and labeled for training early machine learning models.
Deepgram isn’t reinventing the wheel with its release.
