With the rapid growth of AI and machine learning, businesses are adopting new and innovative ways to improve their customer experience. One such technology is the Automatic Speech Recognition (ASR) or Speech-to-Text (STT)
Contact centers play a vital role in delivering quality customer experiences, but they can also be a source of inefficiency, especially when handling a high volume of calls.Fortunately, advancements in automatic speech recognition (ASR) technology have transformed contact center operations, enabling businesses to boost efficiency and deliver seamless customer service.
Conversational AI has transformed the way businesses interact with their customers. With AI-powered Voicebots and voice-enabled Chatbots, businesses can now automate conversations with customers across channels, both Voice and Text. Conversational AI facilitates human-like conversations, yielding high transcription accuracy (up to 95%) and low word error rate (WER).
One of the most crucial sources of customer feedback is conversations that take place between customers and agents over the phone. These conversations are a treasure trove of information that can help businesses improve their products, services, and customer experience. However, manually analyzing these conversations can be a daunting task.
Transcription is the process of converting audio files into written text. It is a vital aspect of several industries, including media, legal, medical, and academic research. While transcription can be time-consuming and challenging, it is essential to transcribe audios with high speed and accuracy, regardless of their quality.
Our revolutionary bot keeps agents on their toes, constantly looking to raise the bar with opportunities for optimization. It's like a virtual assistant- a coach helping them work smarter and reach their highest potential. This intern helps the workflow operates.
The bot assists in keeping human agents in line, ensuring everyone stays within the boundaries of acceptable conduct. Proactively monitoring activity safeguards against inappropriate behavior and keeps employees compliant with rules and regulations.
Artificial Speech Recognition (ASR) technology has transformed the way we interact with our devices and machines. From virtual assistants to speech-to-text software, ASR has become an integral part of our daily lives. However, traditional ASR solutions are not without their limitations and challenges.
Traditional ASR solutions often suffer from higher latency, which means there is a delay between the time the user speaks and the time the software recognizes and responds . Traditional ASR solutions are limited to cloud-based deployment, which means that users have limited control over the data and processing.
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