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Conformer2

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Introducing Conformer-2: Superior Speech Recognition with Enhanced Accuracy and Speed

Last updated Apr 26, 2026

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What is Conformer2?

Conformer-2 is AssemblyAI's latest AI model for automatic speech recognition, designed to enhance performance on proper nouns, alphanumerics, and resistance to noise. Trained on an extensive dataset of 1.1M hours of English audio, Conformer-2 builds on the success of Conformer-1, providing a substantial 31.7% improvement on alphanumerics, a 6.8% improvement on Proper Noun Error Rate, and a 12.0% boost in noise robustness. Additionally, it maintains Conformer-1's word error rate while significantly reducing latency by up to 53.7%.

Conformer2's Top Features

Key capabilities that make Conformer2 stand out.

31.7% improvement on alphanumerics

6.8% improvement on Proper Noun Error Rate

12.0% boost in noise robustness

Trained on 1.1M hours of English audio

Maintains word error rate parity with Conformer-1

Up to 53.7% reduction in latency

Enhanced performance in real-world audio conditions

Improved transcription accuracy

Increased number of models used for pseudo-labeling data

Developed by AssemblyAI

Use Cases

Who benefits most from this tool.

Podcasters

Enhance transcription accuracy for podcasts, especially with proper nouns and alphanumerics.

Business professionals

Improve the transcription quality of business meetings and conferences with enhanced noise robustness.

Media creators

Accurately transcribe video content, ensuring proper noun correctness and alphanumeric accuracy.

Researchers

Transcribe interviews and focus group discussions with high accuracy, even in noisy environments.

Customer service teams

Utilize accurate transcriptions for customer interactions, improving service quality and response time.

Educational institutions

Provide precise transcriptions for online courses and lectures, accommodating proper nouns and complex alphanumerics.

Journalists

Obtain reliable transcriptions of interviews and reports, maintaining the integrity of proper nouns.

Healthcare providers

Accurately transcribe medical dictations and notes, supporting critical alphanumeric and proper noun recognition.

Market researchers

Analyze consumer feedback and focus group recordings with high transcription accuracy in various environments.

Software developers

Integrate advanced speech recognition into applications, delivering accurate transcriptions in real-time scenarios.

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Tags

AI modelautomatic speech recognitionConformer-2proper nounsalphanumericsnoise resistanceEnglish audioperformance improvementConformer-1word error ratelatency

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Frequently Asked Questions

What is Conformer-2?
Conformer-2 is AssemblyAI's latest AI model for automatic speech recognition, designed to improve performance on proper nouns, alphanumerics, and noise robustness.
How much training data was used for Conformer-2?
Conformer-2 was trained on 1.1 million hours of English audio data.
What improvements does Conformer-2 offer over Conformer-1?
Conformer-2 offers a 31.7% improvement on alphanumerics, a 6.8% improvement on Proper Noun Error Rate, a 12.0% boost in noise robustness, and a significant reduction in latency.
Does Conformer-2 maintain the word error rate of Conformer-1?
Yes, Conformer-2 maintains parity with Conformer-1 in terms of word error rate while providing additional improvements.
What are the key features of Conformer-2?
Key features of Conformer-2 include enhanced performance on alphanumerics, better recognition of proper nouns, improved noise robustness, and reduced latency.
Who developed Conformer-2?
Conformer-2 was developed by AssemblyAI, an industry leader in AI models for automatic speech recognition.
How does Conformer-2 handle noisy environments?
Conformer-2 is designed to be more robust to noise, with a 12.0% improvement in noise robustness over Conformer-1.
What is the latency improvement in Conformer-2?
The latency of the inference pipeline has been reduced by up to 53.7% since the release of Conformer-1.
Is Conformer-2 suitable for real-world audio conditions?
Yes, Conformer-2 is designed to be highly robust and suitable for real-world audio conditions, maintaining strong noise robustness.
What is the Proper Noun Error Rate improvement in Conformer-2?
Conformer-2 achieves a 6.8% improvement in Proper Noun Error Rate over its predecessor, Conformer-1.