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Conformer

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Conformer-2: Advanced AI Model for Speech Recognition

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About Conformer

Conformer-2 is an advanced AI model that has been specifically designed for automatic speech recognition (ASR). It is an upgrade to its predecessor, Conformer-1, and has been trained on an extensive dataset of 1.1 million hours of English audio. The primary focus of Conformer-2 is to enhance the recognition of proper nouns, alphanumerics, and noise robustness, which significantly improves its ability to accurately transcribe spoken content.

Conformer-2 has been developed using the scaling laws ...

Key Features

5 features
  • Trained on an extensive dataset of 1.1 million hours of English audio
  • Enhances recognition of proper nouns, alphanumerics, and noise robustness
  • Uses model ensembling to reduce variance and enhance performance
  • Achieves up to a 55% reduction in relative processing duration compared to Conformer-1
  • Demonstrates significant improvements in alphanumerics, proper noun error rate, and noise robustness

Use Cases

5 use cases
  • Industries that rely heavily on speech-to-text transcription, such as legal, medical, and media industries, could benefit from using Conformer-2 to improve the accuracy and speed of their transcription processes.
  • AI companies that specialize in generative AI applications using spoken data could integrate Conformer-2 into their pipelines to enhance the quality of their outputs.
  • Call center companies that deal with a high volume of customer calls could use Conformer-2 to improve their call transcription accuracy and efficiency.
  • Educational institutions that offer online courses or webinars could use Conformer-2 to provide accurate and reliable transcripts for their students.
  • Government agencies that require accurate and reliable transcription for legal or investigative purposes could use Conformer-2 to improve their transcription processes.

Other Features

  • API
Added August 6, 2023
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