Achronix’s FPGAs Automatically Recognize Spoken Word
October 13, 2023
News
Santa Clara, California. Achronix Semiconductor Corporation collaborated with Myrtle.ai for an accelerated automatic speech recognition (ASR) platform designed around the Speedster7t FPGA. Spoken language is transformed into text in over 1,000 concurrent real-time streams and a 20x performance boost over other qualifying products.
"One of the key aspects of the Myrtle.ai accelerated ASR solution built on Achronix Speedster7t FPGAs is its ability to reduce both OpEx and CapEx while maintaining top-tier performance significantly," noted Bill Jenkins, the Director of AI Product Marketing at Achronix.
The VectorPath accelerator card showcases a Speedster7t FPGA running Myrtle.ai’s Achronix-FPGA-optimized ASR IP that serves ultra-low latency speech-to-text competences. Up to 20 CPU-only-based servers or 15 GPU cards can be replaced with one card. When 1,000 streams are not required, the AI is flexible and allows a tradeoff between accuracy and performance.
Having a word-error in the 99th percentile, the solution also provides latency of 54 ms end-to-end. It can be adhered to customer specifications or keep the vertical-specific or custom data sets in standard machine learning (ML) frameworks.
“The architecture of the Achronix Speedster7t FPGA with its 2D network on chip (NoC) and ML processor (MLP) arrays gave us the building blocks required to create an ASR product that is significantly more optimized than anything available on the market today,” said Peter Baldwin, CEO of Myrtle.ai.
For more information, visit achronix.com and Myrtle.ai.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
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Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
