Easy Cloud Solutions

DevOps Providing Fully Managed Hosting on AWS + Azure + Google Cloud for Your Enterprise App

By

Evaluate speech-to-text services from AWS, Microsoft and Google

Amazon Transcribe, Microsoft Azure Speech to Text and Google Cloud Speech-to-Text enable developers to create dictation applications that can automatically generate transcriptions for audio files, as well as captions for video files. Development teams can weave these capabilities into timesaving apps for a range of uses, including call center analytics, video indexing services, web conference indexing and business transcription workflows.… Read more

By

State of the Market: Voice dictation APIs

Transcribe-bot monster meltdown: DeepSpeech, Dragon, Google, IBM, MS, and more! Speech has been a near-impossible field for computers until recently, and as talking to my computer has been something I dreamed of as a kid, I have been tracking the field as it progressed trough the years. Expectations from dictation are high, correcting more than two words per paragraph means to most people it is just easier to type the whole thing in.Microphone quality is very important to speech transcription, $50 headsets are just “ok”, for best results the professionals use pro mics which cost $300+.According to google Audio for recognition should not be compressed in a lossy way, as it hampers recognition.… Read more

By

Comparison of Google Cloud Speech Model vs Google Cloud Video Model

I had an audio clip (length – 32 min, 21 seconds) that I ran through both the Google Cloud’s Speech-to-Text Model and Google Cloud’s Video-to-Text Model. Here are the results. Total # of words: 3,956Total # of characters: 20,970Total # of pages: 7 Speech Model Total # of errors: 102 Accuracy: 97.42 % Video Model Total # of errors: 9Accuracy: 99.77 %… Read more