■ NewsInsight from the intersection of AI and business
Product updates, research, customer stories, and perspectives from the team building AI at S&P Global.
NewsArchive
Unlocking precision and speed: Discover the latest enhancements to Kensho Scribe
We are excited to introduce the latest update to Kensho Scribe AI, our speech-to-text transcription tool. From meeting note documentation to earnings call transcription, our enhanced model offers cutting-edge technology to streamline your workflow and deliver precise results. This new model delivers a 30% reduction in errors compared to our previous model while significantly increasing output quality. These latest advancements can transform your transcription experience and drive greater efficiency in your operations.
How human-reviewed machine-readable transcripts supercharge audio data
Machine-Readable Human-Reviewed (MRHR) transcripts merge modern technological capabilities with human reassurance to produce a transcription that is machine-readable and human-reviewed.
Unlocking the power of ASR: From transcription hassles to business advantages
In the ever-evolving landscape of innovation in Artificial Intelligence (AI), speech-to-text technology, or Automatic Speech Recognition (ASR), is a shining example of progress.
Databricks Data + AI Summit (DAIS) 2023 top themes
In June, I had the chance to attend Databricks’ annual Data + AI Summit (DAIS) in San Francisco along with a team of my colleagues from S&P Global. In addition to showcasing our product and data offerings, we hosted a speaking session, Using Databricks to Power Insights and Visualizations on the S&P Global Marketplace.
Kensho launches Word Error Rate Calculator
WER Calculator is for Automated Speech Recognition Developers to Determine Accuracy of Transcription Outputs
Word Error Rate primer
Word Error Rate (WER) is a commonly used metric to judge the accuracy of Automatic Speech Recognition (ASR) systems. It is the ratio of errors in the ASR’s transcription to the total number of words spoken. Although there are other metrics to measure how well an ASR system is performing, WER is a relatively simple but actionable metric that allows us to compare ASR systems to one another, and evaluate an individual ASR system’s accuracy over time.
Combining speech-to-text AI and human effort to create bespoke transcriptions
With Kensho’s Scribe’s Human-In-The-Loop (HITL) service, you receive an AI-assisted human-edited transcript where every word is transcribed the way you intend it to be and every page looks the way you intend it to look.
Monetizing audio is the new competitive advantage
Audio, and the emerging trend of audio as a data set, is a valuable but underutilized resource. Until recently, the transcription of audio was expensive and often slow due to manual processes. In short, it was only as fast as qualified humans could properly transcribe it. That’s changing thanks to major breakthroughs in AI transcription.
Kensho-Tegus case study
How Tegus used Kensho’s AI to reduce their administrative workload by 70% and level up their compliance funnel.
Maximizing accuracy in speech-to-text transcription with custom dictionaries for automated speech recognition (ASR)
Kensho Scribe permits users to input custom dictionaries in an intuitive and self-service way. Custom dictionaries make ASR models work for your niche industry, and Kensho makes it easy to input your own dictionary with no software experience.
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