How Speech AI technology can improve transcription services

Learn how to use Speech-to-Text and Speech AI technology to transform your transcription services and upgrade your offerings.

How Speech AI technology can improve transcription services

Transcription services are essential for documentation and communication in legal, medical, media, and other fields. Accurate transcription of hearings and depositions can be the difference between justice served and miscarried, and precise transcription for patient interactions and treatment plans can make all the difference in a patient’s health outcomes. 

Traditional transcription methods often do not meet the growing demands for speed, accuracy, and cost-efficiency. Manual transcription is not only time-consuming but also prone to errors. It's influenced by factors like the transcriber's familiarity with specific terminologies or the audio quality of the recording.

Plus, the scalability of manual transcription efforts is limited, struggling to keep pace with the massive increase in audio and video content.

Advanced Speech AI technology (which includes Speech-to-Text AI) uses artificial intelligence, machine learning, and natural language processing to deliver human-level accuracy that can understand multiple languages—whether the speech is accented or not. 

This paradigm shift allows you to provide more reliable and accurate transcription services to your customers, helping you create better products and experiences.

New to Speech AI technology? Below, we'll walk you through everything you need to know about Speech AI technology and how it can transform your transcription services.

What is Speech AI technology?

Speech AI technology often refers to speech-to-text AI models that transform voice data into actionable, accurate transcripts. It primarily consists of two components:

  1. Speech recognition technology: Speech recognition technology (also known as speech to text or speech to text AI) converts spoken language into text, a complex process that requires the AI to accurately identify words amidst other noises.
  2. Natural language processing (NLP): NLP allows the system to understand and interpret the context of the speech, enabling more accurate transcriptions beyond mere word-for-word conversion.

However, Speech AI software today doesn't just include speech-to-text models that transcribe audio data. Speech AI models now include a suite of different feature-rich AI models that have capabilities such as:

  • Speaker detection: Identify and differentiate between different speakers in an audio recording to facilitate following conversations and accurately attribute quotes in transcripts.
  • Sentiment analysis: Analyze the emotional tone behind a series of words to understand the attitudes, opinions, and emotions expressed by the speaker.
  • Chapter detection: Automatically segment audio into chapters or sections based on thematic or topical shifts.
  • PII redaction: Detect and remove (or mask) Personally Identifiable Information from transcripts to protect privacy and comply with data protection regulations.

8 benefits of Speech AI for transcription providers

Transcription providers can use Speech AI to overcome traditional limitations and offer customers unprecedented scale and accuracy—all at a lower cost. Here are a few of the ways Speech AI can transform your transcription services:

1. Accuracy and efficiency

Speech AI technologies can achieve higher accuracy rates and faster turnaround times than traditional transcription methods. For example, Universal-1 has been trained on 12.5M hours of multilingual audio data, allowing it to transcribe complex audio with nuances in speech, background noise, and overlapping conversations. Remember: Not all audio data is captured over a high-end podcast-quality microphone. Customers and patients call in from loud households or busy roads, and accurately capturing conversations is important to better understand speech. 

2. Scalability

Speech AI empowers your transcription services to handle increasing volumes of work without corresponding increases in errors or delays. Speech AI systems can operate 24/7 without fatigue, maintaining consistent quality regardless of workload. This scalability allows you to meet clients' needs with large or fluctuating transcription demands.

3. Cost savings

Traditional transcription services rely heavily on human labor, which can be expensive and time-consuming. Speech AI requires an initial investment in technology but can operate at a fraction of the cost, allowing you to offer more competitive pricing while maintaining (or even increasing) your profit margins.

4. Expanded market

Speech AI's ability to understand and accurately transcribe multiple languages and dialects opens up new markets for transcription providers. The world is becoming increasingly connected, and that's raising the demand for multilingual transcription services.

Speech AI can meet this demand, offering support for a wide range of languages and accurately recognizing various accents and dialects. This evolution in transcription services makes your products more accessible, especially if you use a lighter-weight solution like Nano, which provides Speech AI solutions across 99 languages.

5. Customization and learning

Speech AI systems let you train and customize the solution for specific industry terminologies or client requirements. Whether it's legal terminology or technical language specific to a particular field, Speech AI models can be adapted to understand and accurately transcribe specialized content. 

This customization capability lets you cater your transcription services to a broader spectrum of businesses.

6. Security and privacy

Speech AI can incorporate advanced security measures to guarantee that all transcribed data is processed and stored securely. These systems can be designed to comply with international standards and regulations (such as GDPR and HIPAA).

Given the growing concerns over data privacy and the stringent regulations to protect sensitive information, this could be the differentiator you need to seal the deal.

7. Real-time transcription

Real-time transcription (see Streaming Speech-to-Text) empowers you to offer transcription services for additional applications:

  • Live event captioning
  • Real-time translation services
  • Instant meeting and conference transcriptions
  • Immediate medical documentation
  • Real-time legal transcriptions
  • Interview and speech transcriptions
  • Immediate customer service call transcriptions

8. Accessibility

Speech AI technology empowers your business to deliver accurate transcriptions to serve the diverse needs of a global audience.

  • Hearing impairments: Speech AI ensures that people with hearing impairments can access information otherwise inaccessible.
  • Diverse learning styles: Everyone has a unique way of learning and absorbing information. Speech AI technology delivers written versions of auditory content, catering to visual learners or those who process information more effectively through reading.
  • Improved media consumption: Media companies can provide subtitles and captions for movies, television shows, and online videos to make entertainment and information more accessible to a broader audience.
  • User experience: Beyond basic transcription, Speech AI technologies offer features like speaker identification and emotion detection, adding layers of context to transcribed text.

Real-world examples and use cases

The following real-world examples and customer stories highlight the practical applications of Speech AI for transcription services. From enhancing customer experiences to streamlining workflows and breaking down barriers in communication, here's a look at how leading companies are leveraging Speech AI to innovate, improve accessibility, and drive efficiency.

Screenloop builds recruitment features with AI-powered transcription

Screenloop, a hiring intelligence platform, leveraged AssemblyAI's AI-powered transcription to automate transcription for remote interviews. The platform's AI-driven features promote collaboration, refine candidate-job matching, highlight interview insights, and ensure an unbiased hiring process.

Speech AI technology helps their customers achieve the following:

  • 90% reduction in manual tasks
  • 60% less candidate drop-off
  • 50% fewer rejected job offers
  • 20% faster hiring

Learn more about how Screenloop uses AssemblyAI.

Aloware turns more leads into deals with Speech AI technology

Aloware, a Contact Center Software as a Service (SaaS), upgraded its offerings by integrating AssemblyAI's AI-powered Smart Transcription and Quality Assurance (QA) tools. Aloware helps customer convert their valuable lead calls into actionable insights by:

  • Transcribing calls
  • Auto-generating chapters
  • Analyzing sentiment
  • Evaluating sales representative performance

"AssemblyAI is the first true Machine Learning feature we have developed and provided to our customers," says Nathan Webb, Senior Product Manager at Aloware. "It saves our customers hours of call listening on lengthy calls. Moreover, the tool has opened a new world of unforeseen insights and performance tracking for call reviews."

Learn more about how Aloware uses AssemblyAI.

YouTube Transcripts generates one-click transcripts for videos

YouTube Transcripts generate transcripts for YouTube videos with just a single click. This platform integrates directly into the YouTube studio, offering a streamlined workflow uniquely tailored for YouTube content creators.

The solution uses AssemblyAI's Speech-to-Text and Paragraph Detection to create more accurate, easy-to-read transcriptions. Customers get a more affordable transcription service with near-human-level accuracy, expanding their reach, impact, and accessibility.

Learn more about how YouTube Transcripts uses AssemblyAI.

Start building with Speech AI technology

Speech AI technology transforms the accuracy, accessibility, and features of transcription services. It's a must-have solution for any business looking to efficiently transcribe audio data at scale (and with premium accuracy).

Looking to get started with Speech AI technology? Here's how AssemblyAI can kickstart your innovation:

  • Speech-to-Text: Experience near-human accuracy in transcribing speech to text to make your audio and video content easily searchable and analyzable.
  • Sentiment Analysis: Gauge the emotional tone behind speech, enabling a deeper understanding of customer feedback and interviews.
  • Auto Chapters: Automatically segment and summarize your audio or video content to improve navigability and user engagement.
  • Entity Detection: Identify and tag relevant names, places, and brands in your transcriptions, offering valuable insights for content analysis.
  • Confidence Scores: Assess the reliability of transcription segments to guarantee high-quality, accurate outputs for your projects.

Learn about Universal-1, AssemblyAI's most accurate Speech AI model yet.