#When there is an audio quality concern, for example, latency before a bot responds, is there someth

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sand monolithBOT
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AI-generated Answer for shane.schwulst

Yes—there are several configuration changes (and a couple of model choices) that directly reduce perceived “dead air” and make turn-taking feel natural:

  • Use Conversation Flow → Turn eagerness. Set to Eager when you want the agent to jump in as soon as a natural pause is detected, reducing pre-response delay. You can switch between Eager, Normal, and Patient per use case. (elevenlabs.io)
  • Enable Soft timeout. Configure a short filler (e.g., ~3.0 s) so the agent says “Hmm…” or similar if the LLM/tooling is still thinking—this removes awkward silence without cutting the user off. (elevenlabs.io)
  • Prefer low-latency TTS and streaming:
    • Use the Flash v2.5 model for the fastest TTS (recommended for voice agents). (elevenlabs.io)
    • Stream via WebSocket and tune generation: adjust chunk_length_schedule to trigger earlier audio, and send flush: true at the end of each LLM turn to force immediate playback of any buffered text. (elevenlabs.io)
  • If “natural timing” is more important than absolute minimum latency, consider Eleven v3 Conversational (Expressive Mode). It includes a new turn‑taking system that times responses more naturally; combine it with the Turn eagerness setting. (elevenlabs.io)
  • Keep responses short and stream them. ElevenLabs recommends short inputs and WebSockets for best latency. (elevenlabs.io)
  • Pick voices with faster startup. Default/Synthetic/Instant Voice Clone voices respond faster than Professional Voice Clones; also note that higher-fidelity output formats can add latency. (elevenlabs.io)
  • Don’t rely on deprecated optimize_streaming_latency—follow the current latency best practices instead. (help.elevenlabs.io)

Optional infrastructure tweaks (when relevant): ensure geographic proximity to serving region to lower TTFB; EU customers can request EU infra for comparable latencies. (elevenlabs.io)

If you share a bit about your current setup (agent settings, TTS model, transport, and LLM), I can map these to precise values (e.g., an eagerness mode, soft-timeout seconds, and a chunk schedule) from the docs. (elevenlabs.io)

Sources:
Conversation flow | ElevenLabs Documentation
Conversation flow | ElevenLabs Documentation
ElevenLabs — Meet Flash
Generate audio in real-time | ElevenLabs Documentation
Expressive mode | ElevenLabs Documentation
Text to Speech (TTS) API - ElevenLabs
Latency optimization | ElevenLabs Documentation
Can I reduce API latency? – ElevenLabs
Latency optimization | ElevenLabs Documentation
Conversation flow | ElevenLabs Documentation

celest kernel
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Can I set it so nice the user speaks it sounds like the agent taking notes? Typing maybe?

sand monolithBOT
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AI-generated Answer for shane.schwulst

Yes. In ElevenAgents you can add a “typing” ambience so it sounds like the agent is taking notes while a tool runs.

How to do it

  • In your agent’s Tool configuration, set Tool Call Sound = Typing and choose the behavior:
    • With pre-speech: plays after the agent acknowledges (“Let me check…”) and then runs a tool.
    • Always play: plays during every tool execution, even if the agent doesn’t speak first. (elevenlabs.io)
  • Programmatically when creating the agent, set:
    • tool_call_sound: "typing"
    • tool_call_sound_behavior: "auto" (pre‑speech) or "always". (elevenlabs.io)

Notes and limitations

  • Tool Call Sounds only play during tool execution windows; they are not a continuous background bed while the agent is merely listening. Use “Always play” if you want the typing to start as soon as the tool runs. (elevenlabs.io)

For produced content (non‑live)

  • Use Studio/Voiceover Studio to place typing SFX on a separate track under the voice, either by generating SFX inside the editor or importing your own. (elevenlabs.io)
  • To generate a typing effect via API, use the Sound Effects endpoint and then mix it under narration in your DAW or app. (elevenlabs.io)

Sources:
Tool Call Sounds | ElevenLabs Documentation
Tool Call Sounds | ElevenLabs Documentation
Tool Call Sounds | ElevenLabs Documentation
Studio overview | ElevenLabs Documentation
Sound Effects quickstart | ElevenLabs Documentation

celest kernel
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What are sounds are popular

sand monolithBOT
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AI-generated Answer for shane.schwulst
  • ElevenLabs doesn’t publish a single global “most popular sounds” list. Popularity is surfaced within each Sound Effects category via a “Trending and popular sound effects” section. Examples you can browse: Hit, Pop Sound, Shout, Horror. (elevenlabs.io)
  • If you meant popular voices (not SFX), the help center lists Brian, Liam, Adam, Jessica, Matilda, and Sarah as widely used on social platforms. (help.elevenlabs.io)

Do you want suggestions specifically for “note‑taking” ambience (e.g., keyboard typing/paper rustle), or a broader list of trending SFX categories?

Sources:
Download Free Hit MP3 Sound Effects – High-Quality SFX
What voices are popular on TikTok, YouTube, and social media? – ElevenLabs

celest kernel
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Suggestions for an agent that does discovery and books a virtual meeting on the call

sand monolithBOT
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AI-generated Answer for shane.schwulst

Below is a proven, doc-backed pattern for an on-call agent that does discovery and books a virtual meeting:

  • Channel and transport

    • Web/app: use WebRTC for low-latency browser conversations; obtain a conversation token via the Conversations API. (elevenlabs.io)
    • Phone: connect a Twilio number (native inbound/outbound), or bring Vonage/SIP trunking. (elevenlabs.io)

  • Real-time speech stack

    • Use Scribe v2 Realtime for sub-150 ms STT, multilingual detection, VAD, and manual commit—built for agentic use cases. (elevenlabs.io)
    • Stream TTS over WebSocket/WebRTC from the agent. (elevenlabs.io)

  • Discovery (qualify before booking)

    • Capture key fields (name, email, company, meeting purpose, timing) as Dynamic Variables the LLM can fill during the call; prefer variables over full prompt overrides. (elevenlabs.io)
    • Configure Data Collection and (optionally) Success Evaluation to confirm the agent gathered required fields and achieved “booking completed.” Results are available in post‑call webhooks. (elevenlabs.io)
    • Review performance in the Agents dashboard (calls, duration, cost, languages). (elevenlabs.io)

  • Scheduling integration

    • Cal.com: add two webhook tools—get_available_slots (GET /v2/slots) and book_meeting (POST /v2/bookings). This lets the agent propose times then confirm and create the event. (elevenlabs.io)
    • Calendly: enable live availability checks and instant booking confirmations during the voice conversation. (elevenlabs.io)
    • ElevenLabs’ appointment-setting integrations highlight timezone handling, confirmations, rescheduling/cancellations, and analytics. (elevenlabs.io)

  • Call UX polish

    • While the agent “checks availability” or books, enable Tool Call Sounds (Typing or light elevator music) so the caller hears natural “working” audio. (elevenlabs.io)
    • Detect voicemail on outbound attempts and skip booking flows when appropriate. (elevenlabs.io)

  • Delivery and operations

    • Send conversation data (transcript, extracted fields, analysis) to your system via Post‑call Webhooks for CRM/calendar confirmation or follow‑ups. (elevenlabs.io)
    • Optionally observe/assist live calls via enterprise Real‑time Monitoring. (elevenlabs.io)

Implementation quick path

  • Create an agent and wire WebRTC or telephony (Twilio/Vonage/SIP). (elevenlabs.io)
celest kernel
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Elevator music example