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I assume it's to make it seem like an actual call center rather than a scam. I recently got two phone scam attempts (credit card related) that sounded exactly like this.
you actually answer unknown callers?
Example of legit calls: the pizza delivery guy decided to call my phone instead of ringing the bell, for whatever reason.
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One problem is once you’re in deep building a phone IVR workflow beyond X or Y (yes, these are intentional), callers don’t care about some deep and featured input menu. They just mash 0 or pick a random option and demand a human finish the job and transfer them - understandably. When you’re committed to phone intent complexity (hell), the AI assisted options are sort of less bad since you don’t have to explain the me…
What if the goal is to keep gaslighting you until you give up your demands?
Can I connect this to Twilio
I developed a stack on Cloudflare workers where latency is super low and it is cheap to run at scale thanks to Cloudflare pricing. Runs at around 50 cents per hour using AssemblyAI or Deepgram as the STT, Gemini Flash as LLM and InWorld.ai as the TTS (for me it’s on par with ElevenLabs and super fast)
The baseline configurations all note Is that really where SOTA is right now?
Absolutely not. 500-1000ms is borderline acceptable. Sub-300ms is closer to SOTA. 2000ms or more means people will hang up.
ChatGPT app has a audio version of the spinner icon when you ask it a question and it needs a second before answering.
The baseline configurations all note Is that really where SOTA is right now?
I attended VAPI Con earlier this year, and a lot of the discussion centered on how interruptions and turn detection are the next frontier in making voice agents smoother conversationalists. Knowing when to speak is a hard problem even for humans, but when you listen to a lot of voice agent calls, the friction point right now tends to be either interrupting too often or waiting too long to respond.
The major players are clearly working on this. Deepgram announced a new SOTA (Flux) for turn detection at the conference. Feels like an area where we'll see even more progress in the next year.
Earlier quoted context omitted.
I assume it's to make it seem like an actual call center rather than a scam. I recently got two phone scam attempts (credit card related) that sounded exactly like this.
I built a voice AI stack and background noise can be really helpful to a restaurant AI for example. Italian background music or cafe background is part of the brand. It’s not meant to make the caller believe this is not a bot but only to make the AI call on brand.
Where is the difference between this and Indian support staff pretending to be in your vicinity by telling you about the local weather? Your version is arguably even worse because it can plausibly fool people more competently.
I welcome the spam calls from our asterisk overlords.
The baseline configurations all note Is that really where SOTA is right now?