AWS Machine Learning Blog

Category: HAQM Transcribe

Evaluating an automatic speech recognition service

Over the past few years, many automatic speech recognition (ASR) services have entered the market, offering a variety of different features. When deciding whether to use a service, you may want to evaluate its performance and compare it to another service. This evaluation process often analyzes a service along multiple vectors such as feature coverage, […]

Building custom language models to supercharge speech-to-text performance for HAQM Transcribe

HAQM Transcribe is a fully-managed automatic speech recognition service (ASR) that makes it easy to add speech-to-text capabilities to voice-enabled applications. As our service grows, so does the diversity of our customer base, which now spans domains such as insurance, finance, law, real estate, media, hospitality, and more. Naturally, customers in different market segments have […]

Automating the analysis of multi-speaker audio files using HAQM Transcribe and HAQM Athena

In an effort to drive customer service improvements, many companies record the phone conversations between their customers and call center representatives. These call recordings are typically stored as audio files and processed to uncover insights such as customer sentiment, product or service issues, and agent effectiveness. To provide an accurate analysis of these audio files, […]

Improving speech-to-text transcripts from HAQM Transcribe using custom vocabularies and HAQM Augmented AI

Businesses and organizations are increasingly using video and audio content for a variety of functions, such as advertising, customer service, media post-production, employee training, and education. As the volume of multimedia content generated by these activities proliferates, businesses are demanding high-quality transcripts of video and audio to organize files, enable text queries, and improve accessibility […]

Building a speech-to-text notification system in different languages with AWS Transcribe and an IoT device

Have you ever wished that people visiting your home could leave you a message if you’re not there? What if that solution could support your native language? Here is a straightforward and cost-effective solution that you can build yourself, and you only pay for what you use. This post demonstrates how to build a notification […]

Enhancing speech-to-text accuracy of COVID-19-related terms with HAQM Transcribe Medical

As the world responds to the ongoing pandemic, it’s more important than ever to accurately access, consume, and analyze information related to COVID-19. Topics about the healthcare crisis permeate many dimensions of our personal and professional lives, through channels as diverse as news reporting, social media, business meetings, radio and podcasts, customer support calls, and […]

Analyzing and tagging assets stored in Veeva Vault PromoMats using HAQM AI services

September 8, 2021: HAQM Elasticsearch Service has been renamed to HAQM OpenSearch Service. See details. Veeva Systems is a provider of cloud-based software for the global life sciences industry, which offers products that serve multiple domains ranging from clinical, regulatory, quality, and more. Veeva’s Vault Platform manages both content and data in a single platform […]

Performing medical transcription analysis with HAQM Transcribe Medical and HAQM Comprehend Medical

December 2020 Update – This blog post now also covers how the Medical Transcription Analysis can also be used to store and retrieve medical transcriptions and relevant information using HAQM DynamoDB and HAQM S3 and how all of this data can be analyzed using HAQM Athena. The healthcare industry is a highly regulated and complex […]

Introducing medical speech-to-text with HAQM Transcribe Medical

We are excited to announce HAQM Transcribe Medical, a new HIPAA-eligible, machine learning automatic speech recognition (ASR) service that allows developers to add medical speech-to-text capabilities to their applications. Transcribe Medical provides accurate and affordable medical transcription, enabling healthcare providers, IT vendors, insurers, and pharmaceutical companies to build services that help physicians, nurses, researchers, and […]

HAQM Transcribe now supports speech-to-text in 31 languages

We recently announced that HAQM Transcribe now supports transcription for audio and video for 7 additional languages including Gulf Arabic, Swiss German, Hebrew, Japanese, Malay, Telugu, and Turkish languages.  Using HAQM Transcribe, customers can now take advantage of 31 supported languages for transcription use cases such as improving customer service, captioning and subtitling, meeting accessibility requirements, and cataloging audio […]