Auto Speech Recognition

Automatic Speech Recognition (ASR) uses machine learning or artificial intelligence (AI) technology to process human speech into readable text. This field has seen exponential growth over the past decade, with ASR systems appearing in popular applications we use daily like TikTok and Instagram for live subtitles, Spotify for podcast transcription, Zoom for meeting transcripts, and more.

As ASR rapidly approaches human-level accuracy, there will be an explosion of applications leveraging ASR technology in their products for greater access to audio and visual data. Currently, APIs like AssemblyAI make ASR technology more affordable, accessible, and accurate.

Importance of Speech Recognition

Today, companies use ASR technology for speech-to-text applications across a wide range of industries. Examples include:

Telephony: Call tracking, cloud telephony solutions, and contact centers require precise transcriptions and innovative analytical features such as conversational AI, call analysis, speaker diarization, and more.

Video Platforms: Real-time and asynchronous video subtitling standards are essential in the industry. Video editing platforms (and video editors similarly) need content categorization and content modification for improved accessibility and searchability.

Media Monitoring: Speech-to-text APIs can aid television broadcasting, podcasts, radio, and faster, more accurate brand recognition and other topics for advertising.

Virtual Meetings: Current platforms like Zoom, Google Meet, WebEx, and others need precise transcription and the ability to analyze this content to guide insights and actions. With the Avir ASR system, these purposes can also be served.

Features and Capabilities of the Avir ASR System

The Avir ASR system offers precise and practical texts using the latest artificial intelligence algorithms. Its main applications include: - Smart devices: ASR equips voice-controlled devices like smart speakers, virtual assistants, and wearable tools. This technology enables seamless interaction between users and their tools, allowing them to perform voice commands, reminders, music playback, and more. - Customer Service and Contact Centers: ASR is widely used in interactive voice response (IVR) systems. Contact centers use ASR for automating routine tasks and collecting initial information from callers through voice commands, improving customer service efficiency and reducing wait times. - Healthcare: ASR assists medical professionals by transcribing dictations and notes. This technology helps doctors, nurses, and other healthcare staff record patient information, diagnoses, and treatment plans quickly. - Vehicles: ASR plays a crucial role in voice-controlled navigation systems in cars. Drivers can use voice commands to receive directions, make phone calls, send messages, and control media playback without taking their hands off the steering wheel. - Industrial Applications: ASR has been integrated into various industrial equipment and machinery to enable voice-based control. This can enhance workplace safety and efficiency by allowing workers to interact with machines verbally.

Which Organizations and Companies Can Use the ASR System?

Financial Industry

Telephone interactions are a major service offered by financial institutions, involving critical customer information and privacy protection. Recording calls is an international procedure in this industry because authorities aim to combat fraud by employees and customers. By converting speech to text instantly, banks can monitor live calls to report fraudulent sales and illicit transactions promptly. With the ability to extract emotions and sentiments, speech recognition aids in evaluating customer satisfaction requests and alignment.

Media and Journalism

Scheduling interviews and writing articles within tight deadlines is a fundamental routine for journalists. Dictaphones have long since been replaced by recorders in newsrooms, and now automatic transcription is the secret weapon of reporters. This tool allows journalists to focus on the interview without worrying about note-taking. Automated transcription technology aids in creating searchable transcripts that journalists can easily extract important information and quotes when drafting copy.

Subtitle Creation

Subtitles for a video are essential based on the viewer's language proficiency, accessibility, environment, or personal preferences. Manual transcription was a nightmare for all video editors due to its time-consuming nature, requiring nearly 10 hours for a one-hour video clip. Artificial intelligence transcription technology automatically creates subtitles in seconds, ready for minor edits and placement on screen.

Legal Industry

Lawyers pay attention to the details of witness testimonies and legal statements during a comprehensive review. Verbatim recording of every word, especially during a legal trial, is very important. Given the technical nature of testimony, court reporters were once considered the sole solution for obtaining accurate records of courtroom events. However, with the latest technology, artificial intelligence enhances the process of converting speech to textual notes, capable of accurately transcribing heavy legal documents and conversations. Significant operational benefits for law firms have been recognized as transcription time is significantly reduced. Any edit or correction on the transcript is fed back to the system via algorithms, allowing it to continuously improve accuracy.

Marketing

Organizing centralized groups is an effective and common action for marketers conducting market research. By converting speech to text, all market research data can be prepared for analysis and distribution. Automated transcription reduces the process from several days to just minutes. Finding two pieces of audio to create content or develop a database is not difficult; it takes hours of searching. Instant transcription of video to text allows marketers to pinpoint the exact moment and cut the video clip or simply extract quotes from the generated transcript by keyword search. The capabilities of artificial intelligence transcription are continually increasing, giving businesses the opportunity to operate at lower costs and higher productivity. It is believed that advanced artificial intelligence speech recognition technology will be able to analyze a combined flow of image-to-sound data in real-time in the future.