Voice Agent Architectures Explained
A developer outlines three architectures for building voice agents: cascading (STT→LLM→TTS), speech-to-speech (multimodal model), and unified API. The post emphasizes that accuracy depends on the spee…
A developer outlines three architectures for building voice agents: cascading (STT→LLM→TTS), speech-to-speech (multimodal model), and unified API. The post emphasizes that accuracy depends on the spee…
XAI launched the Grok Voice Agent Builder in beta on July 1, featuring a single speech-to-speech model that replaces the traditional three-API voice stack. The platform offers sub-700ms latency and co…
A developer released e3d-pod2vid, an open-source AI pipeline that converts diarized podcast audio into YouTube-ready videos with semantically matched B-roll, burned-in subtitles, and optional TTS voic…
SouthBridgeAI released offmute-v2, an open-source multi-step pipeline for timestamp-correct, diarized transcripts with identified speakers, after GLM-5.2 outperformed Opus 4.8 on an AI-resistant backe…
LiveKit released eot-bench, an open benchmark suite for end-of-turn detection in voice AI, along with the first open dataset of real human-to-agent conversations in 14 languages. The benchmark evaluat…
Whissle Research Team introduced a meta-aware automatic speech recognition (ASR) model, META-1, that outputs transcription and metadata tokens (emotion, intent, demographics) in a single forward pass …
A developer benchmarked five voice AI stacks using the same one-minute conversation and found that only two—OpenAI's Realtime API and LiveKit Agents with Gemini 2.0 Flash Live—consistently stayed unde…