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Automatic Speech Recognition (ASR)

Instant speech-to-text conversion to revolutionize communication and productivity.

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Capture, transcribe, and leverage spoken content

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Tech-driven excellence
Leveraging AI to enhance the efficiency and accuracy of your content with improved turnaround times and scalability.

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Empowering your organization

Our in-house team of engineers and linguists are able to customize AI solutions for maximum impact across your business ecosystem.

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Privacy-centric approach
Your content and data remain protected through encryption protocols, secure storage, access controls and industry-specific regulatory compliance.

Take a closer look at how ASR works

Although ASR has seen significant developments in recent years it can be described as a 4-step process.

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Voice Activity Detection

The transcription process initiates with the identification of the presence of speech or talking within the recorded audio. Through advanced algorithms, the system detects and segments the soundtrack, allowing the machine to process each segment individually.

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Diarization

Next, we need to identify the different speakers in each recording, and to group them into segments. This addresses the challenge of “who speaks when?’ To answer this question, the machine uses different models containing specific data (languages, voice). In this way, it can differentiate the subtleties of a language (such as accents, for example). Note that at this point, we are still processing the data in a “mathematical” way.

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Decoding

This is when the actual transcription starts. A list of possible syllables (phonemes) is established for each audio segment. For now, no full sentences have been generated, only one long list of possibilities, each with a score.

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Rescoring

To ensure the most accurate transcription, the computer selects phonemes and words learned during the initial phase (similar to how a GPS identifies the best route). The chosen sentence is then transcribed into the document. This process is repeated for each segment of the recording, resulting in a complete transcription.

After this automated process, our experts review the document. Apart from verifying the overall content, the proofreader also ensures proper attribution of the speech to the respective speakers. This meticulous review guarantees a precise and reliable transcription.

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The future of speech recognition at your disposal

Cutting-edge ASR Technology

With years of experience in this field, we leverage the latest advancements in AI and ASR technology to deliver exceptional accuracy and performance.

Industry expertise

We understand the unique needs and challenges of enterprise clients, enabling us to provide tailored solutions that meet your specific requirements.

Scalable and reliable

Our ASR services are designed to scale alongside your business, ensuring reliable performance even in high-demand environments.

Security and confidentiality

We prioritize the privacy of your business data, securing the protection of sensitive information and compliance with industry regulations.

 

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Discover how our ASR services can empower your organization with accessibility and productivity.

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Frequently Asked Questions

Curious to learn more about Automatic Speech Recognition? Check our FAQs.

What is Automatic Speech Recognition?

Automatic Speech Recognition (ASR) is the term given to the technology used to transcribe spoken words into written text. ASR has seen significant developments in recent years, and our R&D team is contributing to its continual growth. 
What’s the ASR technology used at Acolad?

At Acolad, we use one Large Vocabulary Continuous Speech Recognition (LVCSR) – based on the automatic identification of very short audio sequences. This technology makes it possible to produce an extremely high quality transcription, provided that the recording used has been made correctly. Our working method means that we can handle not only recordings containing non-specialized vocabulary, but also those that include more specific terms (technical, legal, medical, etc).
What are the most common use cases for ASR?

ASR technology has become a vital tool across various industries, including legal, finance, government, healthcare, and media. In these fields where continuous conversations and accurate record-keeping are essential, ASR serves multiple purposes. Here are some common use cases:

  • Legal: In legal proceedings, capturing every word spoken by witnesses and involved parties is critical. ASR technology provides a scalable and reliable solution for digital transcription, addressing the shortage of court reporters and ensuring accurate and comprehensive records.
  • Learning and education: ASR captions and transcriptions support students with hearing loss or disabilities in classroom settings. It also benefits non-native speakers, commuters, and students with diverse needs, fostering an inclusive learning environment.
  • Healthcare: ASR is utilized by doctors to transcribe notes from patient meetings or document procedures during surgeries, enhancing efficiency and accuracy in medical documentation.
  • Multimedia: Media production companies rely on ASR for live captions and media transcription to ensure accessibility and compliance for various media content.

     
    Corporate: ASR captioning and transcription assist companies in creating inclusive environments by providing accessible training materials. It caters to employees with diverse needs, promoting equal participation and understanding.
What are the advantages of ASR vs. traditional transcription?

Besides covering the growing shortage of skilled traditional transcribers, ASR can accelerate and improve the quality of captions and transcriptions. With its AI-empowered engines ASR can be trained and absorbe information faster and better than humans. However, the ideal format still requires using human intelligence to fact-check AI-produced content. This editing step is particularly important when the ASR is supporting accessibility initiatives where guidelines and laws require near-perfect accuracy.