Benedetta Cevoli

Senior Machine Learning Engineer

AI bias is making headlines all over the world, demonstrating the problem in the technology industry, and it is up to all of us to solve it.

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How To Tackle AI Bias

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Read how belief and passion in speech-to-text innovation is pushing Speechmatics forwards towards our mission to Understand Every Voice.

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Belief and Passion in Speech-to-Text Innovation

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Speechmatics’ launches pioneering Autonomous Speech Recognition software, outperforming Amazon, Apple, Google, and Microsoft.

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Speechmatics achieves AI breakthrough, beating tech giants in tackling bias and inclusion to understand all voices

Read the blog to learn from VP Machine Learning, Will Williams about the ins and outs of how machine learning is driving innovation at Speechmatics.

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A Career in Machine Learning: Q&A with Will Williams

Adding speech-to-text to your product unlocks many opportunities for your business. Follow these 5 steps to ROI with speech technology.

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5 Steps to ROI with Speech-to-Text

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Choosing a speech-to-text provider doesn't have to be daunting. Read more about what makes Speechmatics' speech recognition software world leading.

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Speech recognition software: Why Speechmatics is the most compelling choice

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Read the blog to learn how Speechmatics is harnessing deep learning to provide the world's best speech-to-text software.

The ultimate guide to speech-to-text software

Find out about the challenges in Speech Recognition and how the Speechmatics team has been able to overcome them to provide better voice tech. Read more!

Speech recognition challenges and how to overcome them

New applications for speech recognition demand even more features to align with industry expectation. Learn about 6 voice-to-text features for the future.

6 voice-to-text features for the future

Voice is now widely adopted by businesses to support their digital transformations and achieve growth. Learn about 5 uses of speech recognition technology.

5 Uses of Speech Recognition Technology

From ultra-fast conversational AI to studio-quality narration, find the voice that matches your use case and budget.

Best TTS APIs in 2026: Top 12 Text-to-Speech services for developers

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We are Speechmatics. Global experts in deep learning and voice technology. Accurate speech-to-text for analysis and accessibility.

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Global experts in deep learning and voice technology. Accurate speech-to-text for analysis and accessibility.

Stay up-to-date with the very latest product news, company news and artificial intelligence (AI) research. Bookmark our technology blog today!

Blog & Latest Speech Recognition News| Speechmatics

Word error rate for legal transcription has no single acceptable threshold. But knowing how accuracy, audio quality, and review obligations connect to real legal risk is what separates a reliable transcript from a costly one.

What Word Error Rate Is Acceptable for Legal Transcription?

The court reporter shortage is reshaping litigation. Explore data, causes, and how legal teams are using digital reporting and AI transcription to adapt.

The court reporter shortage crisis: data, causes, and what legal teams are doing about it

Why predicting durations as well as tokens allows transducer models to skip frames and achieve up to 2.82X faster inference.

How Nvidia Dominates the HuggingFace Leaderboards in This Key Metric

AI-powered Arabic medical transcription for hospitals and clinics across the Middle East, improving accuracy, compliance, and speed.

Speechmatics Startup Program: Unlock $25K Credits

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Turning real-time clinical speech into trusted, EHR-native automation.

One word changes everything: Speechmatics and Edvak EHR partner to make voice AI safe for clinical automation at scale

The metrics, milestones, and real-world outcomes that defined Voice AI’s breakout year.

Speechmatics in 2025: the numbers that shaped Voice AI's breakthrough year (+ what’s to come in 2026) 

Ship Voice AI agents that understand every voice in real-time, even in noisy, multi-speaker scenarios.

Vapi and Speechmatics: Build agents that understand every voice

Real-time voice AI isn’t just about speed — it’s about handling thousands of live conversations at once. Here’s why concurrency makes or breaks performance at scale.

The scaling challenge voice AI can’t ignore

Expanding a Nordic medical lineup with 3.91% KWER model that delivers sub-second latency across Swedish, Finnish, Danish, and Norwegian clinical workflows.

Speechmatics launches new Swedish medical model, cutting transcription errors by 40%

Built on NVIDIA AI infrastructure, the collaboration combines medical-grade speech models and agent workflows to deliver measurable ROI; cutting admin time and scaling healthcare capacity worldwide.

Speechmatics and Sully.ai partner to scale healthcare AI infrastructure globally

The voice AI gold rush has made natural-sounding speech a premium commodity, but most businesses don’t need to pay Oscar-winning prices to sound human.

Do you really need to pay a fortune for your text-to-speech?

New German, Danish and Norwegian Medical Models deliver up to 50% lower error rates, real-time accuracy under one second, and full deployment flexibility.

Speechmatics sets new standard for real-time medical transcription with German and Nordic roll-out

Joining French, Dutch, Finnish and English for global clinical transcription - accurate, hallucination-free, and accent-independent.

Speechmatics Medical Model launches in Spanish

Most TTS sounds great in demos but breaks in real conversations. We built ours for sub-150ms latency, natural voices, and global scale.

Why we built our low-latency Text-to-Speech

50% fewer critical errors. 96% medical term recall. A new benchmark for real-time clinical speech recognition.

The next generation of AI medical speech recognition is here

Next-gen medical transcription model cuts errors, boosts accuracy, and brings real-time reliability to clinical documentation.

Speechmatics sets record in medical Speech-to-Text with 93% accuracy

What “fast” actually means for voice agents — and why Pipecat’s TTFS + semantic accuracy is the clearest benchmark we’ve seen.

Speed you can trust: The STT metrics that matter for voice agents

Introducing 250ms final transcripts for Voice AI

You can’t hurry love, but you can hurry final transcripts

Is it time to rethink responsiveness as a conversational problem, not just a technical one?

Voice AI doesn't need to be faster. It needs to read the room. 

A practical guide to the leading AI agent orchestration platforms shaping real-time Voice AI in 2025, and what to consider before you build.

The 7 best AI agent orchestration platforms for building Voice AI agents in 2025

Benchmarks love milliseconds. 
Users love conversations that actually work.

Why “fastest” voice tech is a trap 

Why supporting thousands of parallel sessions is more than a backend problem.

How we built real-time concurrency for Voice AI at scale

Build real-time, speaker-aware Voice Agents with LiveKit + Speechmatics

Introducing real-time, speaker-aware Voice Agents with LiveKit + Speechmatics

From stage to strategy: core takeaways from a lead engineer on the future of live, usable Voice AI.

Inside the future of Voice AI: Speechmatics at the LiveKit developer showcase 

Open-source TTS is reshaping the landscape — unlocking custom voices, on-device deployment, and fine-tuned speech that fits your domain and your users.

Custom Voice AI in 2025: The Open Source Boom

As clinical workflows become automated and AI-driven, real-time speech is shifting from a transcription feature to the foundational intelligence layer inside modern EHR systems.

Why AI-native EHR platforms will treat speech as core infrastructure in 2026

Voice AI moved fast. Regulation caught up. Here’s how to stay compliant in 2026.

Your essential 2026 guide to voice ai compliance in today's digital landscape

What teams deploying Voice AI at scale see coming next as production pressure reshapes adoption.

7 Voice AI predictions from teams building at scale in 2026

Faceless YouTube channels are becoming a scalable, system-driven way for businesses to produce high-impact video without relying on on-camera talent.