Callbot
It is a technology that enables callbot systems (automated phone bots) to recognize and convert customer speech into text. This helps the callbot understand customer requests, process information, and provide appropriate responses or solutions. Applications include:
Automatically answer and handle calls without human intervention.
Record call content for analysis and improvement of customer service.
Detect keywords and context to provide more accurate solutions.
Integrate with customer management systems (CRM) to efficiently update and manage customer information.
Voicebot, Virtual Assistant
It is a technology that allows these systems to recognize and convert user speech into text. This helps voicebots and virtual assistants understand and accurately fulfill user requests.
Natural communication: Allows users to interact using voice instead of text.
Execute commands: Helps the virtual assistant understand and carry out commands such as making calls, sending messages, setting reminders, and searching for information.
Answer questions: Provide information and address user queries.
Voice OTP. Voice Payment
It is a technology that converts speech to text to authenticate and carry out financial transactions securely and conveniently. This technology enhances security and convenience, allowing users to perform transactions easily and safely. Applications of speech-to-text in Voice OTP and Voice Payment include:
Voice OTP: Convert the OTP spoken by the user into text for transaction or login authentication.
Voice OTP: Convert the OTP spoken by the user into text for transaction or login authentication.
Recording, tape recording
The recording and transcription feature uses speech to text technology to convert recorded audio into text. It helps save time and improve efficiency in managing and processing audio information. Applications of this feature:
Record meetings and lectures: Record content and automatically convert it to text for easy reference and sharing.
Convert podcasts, interviews: Create text transcripts from audio content for analysis and archiving.
Legal Support: Create transcripts from conversations or hearings for use in legal documents.
Call sentiment analysis
Call sentiment analysis uses speech to text technology to automatically identify and evaluate emotions in voice conversations. Helps optimize management and enhance customer interactions effectively. This is a useful tool for businesses to:
Measure emotions: Analyze emotions such as satisfaction, anger, or anxiety in customer interactions
Improve service: Enhance response and adjust service based on real-time feedback from customers.
Quality Management: Evaluate employee performance and communication skills to improve customer experience.
