Per year in potential cost savings
A federal agency responsible for the care, custody, and control of over 175,000 incarcerated individuals has a large collection of audio file transcripts from inmates’ telephonic conversations. It invests around $12 million a year in human translation services to obtain transcripts of the audio files to supervise the prisoners and take necessary actions if any threat is identified.
Google Cloud Functions
Google Speech-to-Text API
Google Translate API
Google's AutoML
Google Cloud Storage
App Engine
In an effort to better monitor the inmates’ phone calls as well as lower the cost involved, they wanted to streamline the process of identifying by utilizing automated machine translation. This would increase the accuracy, reduce the latency involved in the entire process of transcription, and significantly reduce the human effort involved.
Quantiphi built a custom speech-to-text translation solution for converting prison calls recorded in Spanish into a corresponding textual format, as well as a highly interactive User Interface to show the translated transcriptions with threat and sentiment analysis.
