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Saturday

  1. Unite.AI

    What Is a Native Audio Model? How Speech-to-Speech AI Skips the Transcription Step

    Native audio models process or generate acoustic representations directly, preserving information such as timing, intonation, and speaker cues that text transcription would discard. They are fundamentally different from the "transcribe to text first, then synthesize speech" pipeline: the latter changes the causal chain, and the evidence of success, the sources of cost, and the approach to risk control all differ. The article breaks down its workflow into five stages: converting waveforms into audio tokens, modeling speech and non-speech context, inferring semantics and dialogue state, generating audio tokens, and decoding natural speech.

    Native audio models process or generate acoustic representations directly, preserving information such as timing, intonation, and speaker cues that text transcription would discard. They are fundamentally different from the "transcribe to text first, then synthesize speech" pipeline: the latter changes the causal chain, and the evidence of success, the sources of cost, and the approach to risk control all differ. The article breaks down its workflow into five stages: converting waveforms into au

    Matched fieldsTitle

    #hot-signal#Tutorials / practice#Speech

Friday

  1. ElevenLabs Blog

    ElevenLabs Blog: AI Voice Agents Integrate with Salesforce, HubSpot, Zendesk

    ElevenLabs released a guide on how to connect ElevenAgents voice agents to CRM and customer service systems such as Salesforce, HubSpot, and Zendesk, enabling bidirectional data operations such as reading customer records, creating tickets, and updating contacts during calls. The article states that with real-time context access, agents resolve inquiries up to 10 times faster than traditional approaches such as scripted chatbots or fixed phone trees, and can automatically log ticket history and reduce manual data entry through in-call and post-call webhooks.

    Diagram showing voice agents read CRM records mid-call and write ticket outcomes automatically.

    ElevenLabs released a guide on how to connect ElevenAgents voice agents to CRM and customer service systems such as Salesforce, HubSpot, and Zendesk, enabling bidirectional data operations such as reading customer records, creating tickets, and updating contacts during calls. The article states that with real-time context access, agents resolve inquiries up to 10 times faster than traditional approaches such as scripted chatbots or fixed phone trees, and can automatically log ticket history and

    Matched fieldsTitle

    #company#Tutorials / practice#Agents#English text is being prepared.
  2. LiveKit Product and Engineering Blog

    How LiveKit builds production-grade AI voice agents

    LiveKit has released a guide sharing the experience of its solutions architects and forward-deployed engineers in helping customers move voice agent POCs into production systems, centered on three questions: whether the agent is smart and natural enough, whether production performance can be observed, and whether it can scale reliably and at low cost. The guide offers 7 methods, including measuring first-turn response latency separately, splitting context into the part needed for the greeting and the part loaded in the background, and enabling turn_detection=inference.TurnDetector() and adaptive interruption handling by default.

    Sequence diagram of an agent handling an async claim status lookup: it starts the lookup in the background, keeps talking with the caller, and reports back once the lookup finishes

    LiveKit has released a guide sharing the experience of its solutions architects and forward-deployed engineers in helping customers move voice agent POCs into production systems, centered on three questions: whether the agent is smart and natural enough, whether production performance can be observed, and whether it can scale reliably and at low cost. The guide offers 7 methods, including measuring first-turn response latency separately, splitting context into the part needed for the greeting an

    Matched fieldsTitle

    #company#Tutorials / practice#Speech#Agents

Thursday