Real-World Voice Complexity
Handling interruptions, side conversations, hold music, background noise, and partial inputs
Real conversations are messy. People interrupt, talk to others in the background, and don't always speak in perfect sentences. Unlike basic voice AI that fails in these scenarios, Sheela is built to handle the full complexity of real-world voice interactions, making conversations feel natural and human-like.
Continuous Improvement - Sheela's voice complexity handling improves over time through machine learning and analysis of real conversations. Each interaction helps the system better understand speech patterns, interruption types, and environmental challenges specific to your organization and patient population.
Complex Scenarios Handling
Interruptions
Gracefully handle when users interrupt
mid-sentence to change direction.
Hold Music & Background Noise
Detect and filter out background sounds and music.
Multiple Topics
Navigate conversations that jump between different subjects.
Side Conversations
Recognize when the caller is talking to someone
else and wait appropriately.
Partial Inputs
Understand incomplete thoughts and ask clarifying questions.
Ambient Sound / Accents & Speech Patterns
Function effectively in noisy environments like cars
or busy households. Understand diverse accents and speaking styles.
Advanced Voice Technologies
Voice Activity Detection
Accurately identify when the user is speaking vs. when there's background conversation.
Natural Turn-Taking
Know when to speak, when to wait, and when to ask if the user is ready to continue.
Emotion Detection
Recognize stress, frustration, or urgency in voice tone and adjust accordingly.
Context Preservation
Remember conversation context even after interruptions or topic changes.
Intent Clarification
Ask smart follow-up questions when user input is ambiguous or partial.
Noise Cancellation
Filter out background noise while preserving the speaker's voice clearly.
Real World examples
Side Conversation Handling
Patient: "I need to schedule... [to spouse] Honey, what day works for you? Tuesday? Okay... Tuesday morning please."
Sheela: Waits for the patient to finish their side conversation, then continues: "I have Tuesday morning available. Would 9 AM or 10 AM work better?"
Interruption & Correction
Sheela: "Let me schedule you for—"
Patient: "Wait, actually I need to reschedule an existing appointment first."
Sheela: "Of course, let me help you reschedule. What's your appointment date?"
Background Noise
Patient: (calling from car with music playing) "I need to... uh... refill my prescription"
Sheela: Filters out the music and traffic noise: "I'd be happy to help with your prescription refill. What medication do you need?"
Partial Input Clarification
Patient: "I need... the thing... for my knee?"
Sheela: "I can help with that. Are you looking to schedule an appointment for your knee, request a prescription, or check on an existing appointment?"
Why This Matters?
The difference between basic voice AI and Sheela's real-world voice complexity handling is the difference between frustrating automated systems and genuinely helpful conversations. When your AI can handle real conversation patterns:
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Patients don't get frustrated and hang up
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Completion rates increase dramatically
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Fewer escalations to human staff are needed
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Patient satisfaction improves
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The AI works in real environments, not just perfect lab conditions