Automatic Speech Recognition

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Automatic Speech Recognition

We all rely on technology for growth because we know it has the potential to evolve continually. One of the most revolutionary developments in AI is Automatic Speech Recognition, or what we know as ASR.

You can understand ASR as an AI technology that allows human and machine interaction. Through a computer interface that recognizes human speech, machines can decipher the keywords from your audios.

These keywords generate a plausible and accurate response to your verbal language. Do you want to dictate your content and get a quick transcription? Head to ClearCypher’s Speech-to-Text solution.

Our Service

ClearCypher helps you have spontaneous interactions and easy speech-to-text conversion. Our services include the following domains:

  1. Quick speech-recognition for dial-up in telephones.
  2. Natural language conversation for high-quality broadcast content.
  3. Analysis of tone and speech.
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Benefits of ASR

  • Simplifies Work

    If you want to have a more productive business, you need to switch to cloud and AI-based platforms. They will keep you in the technological competition. ASR analyzes the intent and language of your content and prompts you to take action on text and media.

  • Solves Problems Through Knowledge

    Save your human capital for the formulation, rectification, and finalization of tasks. Leave the procedural details on the high-tech AI-based software. ASR helps us in the transcription of audios, machine translations, and human-machine communication.

  • Language support

    We cover hundreds of languages to elevate the accessibility of our services.

  • Support for Dialects and Slangs

    Our services emphasize acknowledging the ethnic specialty of individual groups. We provide you answers for slangs and dialects that cannot be transliterated.

  • Multi-Speaker Recognition

    Identify and segment speaker changes through either separate audio channels or via advanced speaker diarization (the separation of audio streams into homogeneous segments for each speaker) on single audio channels.