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Speech, Voice and Realtime Audio Models

Speech, Voice and Realtime Audio Models — 2026-10-29

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Speech, Voice and Realtime Audio Models — 2026-10-29

Speech, Voice and Realtime Audio Models|October 29, 2026(2h ago)3 min read9.3AI quality score — automatically evaluated based on accuracy, depth, and source quality
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Nvidia released a new open-source speech-to-text model supporting 40 languages, while NTT announced a voice dialogue AI with 0.43-second response times for call centers. Meanwhile, KT launched "Token Factory," a platform managing over 500 AI models to optimize token efficiency, and ElevenLabs introduced "Eleven Realtime" models with sub-600ms latency.

Speech, Voice and Realtime Audio Models — 2026-10-29


Top developments


Nvidia releases open transcription model for 40 languages

Nvidia released a free speech-to-text model capable of transcribing up to 40 languages. However, the model is currently limited to recordings rather than live audio, positioning it as a significant tool for meeting and medical transcription while leaving real-time applications to competitors like ElevenLabs.

Nvidia's new AI transcription model interface
Nvidia's new AI transcription model interface

techcrunch.com

techcrunch.com

techcrunch.com

techcrunch.com


NTT develops voice AI with 0.43-second response time

NTT announced the development of a voice dialogue AI technology designed for call centers, achieving an average response time of 0.43 seconds. The technology enables natural conversations by automatically retrieving necessary information and speaking according to instructions, aiming to improve service quality and reduce operator workload. NTT plans to demonstrate this at the "NTT R&D FORUM 2026" and is planning joint experiments for real-world application.

NTT's new voice dialogue AI technology
NTT's new voice dialogue AI technology


ElevenLabs launches "Eleven Realtime" speech-to-speech models

ElevenLabs introduced "Eleven Realtime," a new family of speech-to-speech models for voice agents. The models, "v1 Mini" for natural conversation and "v1 Max" for complex tasks, feature end-to-end tuning of speech recognition, turn-taking, LLM, and voice. They achieve time-to-first-audio latencies of 620ms and 570ms respectively, and are compatible with the OpenAI Realtime API.

ElevenLabs Realtime voice agent models
ElevenLabs Realtime voice agent models


Ant Group open-sources Ming-3.0 speech models

Ant Group released Ming-3.0, a suite of five MIT-licensed speech models covering text-to-speech (TTS), audio understanding, and recognition. This open-source release adds to the growing ecosystem of accessible voice AI tools, alongside other recent releases like Gradium’s 31M-parameter on-device TTS model "Phonon".


Local view


KT launches "Token Factory" to manage 500+ AI models

KT launched "Token Factory," a platform that allows enterprises to manage and select from over 500 domestic and international AI models. The platform features an auto-model router to select optimal models and uses Korean prompt compression technology to improve token efficiency by up to 25%. This move positions KT to monetize AI usage as a utility, similar to voice and data services.

KT's Token Factory platform overview
KT's Token Factory platform overview


Google DeepMind releases "Genie 4" with real-time voice simulation

Google DeepMind announced "Genie 4," a world simulation model capable of generating real-time interactive environments with native voice features, including music, environmental sounds, and dialogue. Users can modify the virtual world with voice commands, such as requesting "fire and arrows from the castle walls," which the AI then implements in real-time.


Context & numbers


ElevenLabs API Pricing and Latency

As of October 2026, ElevenLabs API pricing for Text-to-Speech is listed at $0.08 per 1,000 characters for multilingual models and $0.04 for Flash/Turbo models. Speech-to-Text pricing is $0.22 per hour for Scribe and $0.39 per hour for Scribe Realtime. The market has settled into three lanes: expressive models for offline content, low-latency models for real-time agents, and low-cost models for bulk processing.


Voice AI Scams and Safety

Recent reports highlight the risks of AI voice cloning, with scammers using cloned voices to fake kidnappings. Experts recommend families establish "safe words" to verify identities. The FBI has reported $893 million lost in AI-related scams, with voice cloning becoming a primary vector due to the ability to create convincing clones from just 3 seconds of audio.


On the radar

  • NTT R&D FORUM 2026: NTT will demonstrate its new 0.43-second response voice AI at this upcoming forum, with plans for joint experiments in call center environments.
  • KT Token Factory Rollout: Following the October 27 launch, KT plans to expand the "Token Factory" platform beyond enterprise customers to broader markets in the coming year.
  • Open TTS Leaderboard: Hugging Face continues to update the Open TTS Leaderboard, which now evaluates over 8,000 TTS models, with recent leaders including Kokoro-82M, Supertonic-3, and Fish Audio S2 Pro.

This content was collected, curated, and summarized entirely by AI — including how and what to gather. It may contain inaccuracies. Crew does not guarantee the accuracy of any information presented here. Always verify facts on your own before acting on them. Crew assumes no legal liability for any consequences arising from reliance on this content.

Explore related topics
  • QHow accurate is Nvidia's new transcription model?
  • QWhen will NTT deploy its voice AI in call centers?
  • QHow much do ElevenLabs' realtime models cost?
  • QWhat are the key features of Google's Genie 4?

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