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.

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Conformer2

Name: Conformer2
Brand: Conformer2
Rating: 5 (1 reviews)
Author: Conformer2

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Last updated: August 8, 2024

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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%.

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Conformer2's Top Features

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

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