Trendora

Voice Agents

Assess

Tools

Conversational systems that use speech input and output to interact with users.

Why it's here

Placed in Assess: 3 article(s) of evidence from 2 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 47%.

Evidence (3)

  • 5Hugging Face Blog·6/9/2026research
    Benchmarking Frontier ASR for Bilingual Code-Switched Speech

    Hugging Face explores how frontier automatic speech recognition systems perform on code-switched speech from bilingual customers. The post benchmarks multiple ASR models to assess whether voice agents can reliably understand mixed-language utterances in real-world settings.

  • 5OpenAI Blog·5/7/2026product_launch
    Parloa uses OpenAI models for voice AI service agents

    Parloa says it uses OpenAI models to power scalable, voice-driven customer service agents for enterprises. The platform is designed to help teams design, simulate, and deploy reliable real-time interactions.

  • 5Hugging Face Blog·3/24/2026framework_update
    EVA: A New Framework for Evaluating Voice Agents

    Hugging Face introduced EVA, a framework for evaluating voice agents. The framework is intended to provide a structured way to assess how well voice-based AI systems perform across relevant tasks and behaviors.