Search “Speech”

On October 28, 2026, NVIDIA released the speech transcription and translation model Nemotron 3.5 Transcribe, supporting 40 languages including Japanese and capable of transcribing recordings up to 1 hour long. The model is an open-weight 30B MoE architecture that activates approximately 4B parameters during inference, can specify via text instructions whether to retain filler words and how numbers are written, and supports speaker diarization for up to 8 people and bidirectional Japanese-English

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AnySpeechRecognizer supports engine switching on top of the Apple SpeechAnalyzer API, with options including NVIDIA Parakeet TDT 0.6B v3 (supporting 25 European languages), Moondream post-trained Parakeet Ultra, the English version Parakeet Unified, and Alibaba Qwen3-ASR (0.6B/1.7B, covering 30 languages and 22 Chinese dialects). These models have been converted to Core ML and published on the Hugging Face Hub; Parakeet takes about 20–40 seconds to transcribe 1 hour of audio, while Qwen3-ASR is

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Cartesia has launched the Managed Agents end-to-end voice agent platform, targeting enterprise call scenarios. On Artificial Analysis's Speech Agent Arena, it ranks first among 30 agents with a preference Elo of 1115. On ServiceNow's EVA-Bench, the platform achieved an accuracy of 87.4% and an experience score of 90.7%, both the highest. The platform co-designs the voice model with the harness, offering capabilities such as 44 languages, tool calling, knowledge bases, and outbound calling batche

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ElevenLabs has released a user guide explaining turn-taking in conversational AI: the model must switch among three actions—replying, holding the floor, and listening to silence—relying on adaptive timing, VAD, and semantic analysis to determine whether the user has finished speaking, rather than depending on a fixed silence timer. When Eleven v4 Turbo is paired with ElevenAgents, the median latency from request to audible speech is 142 ms. Engineering teams can measure conversational fluency us

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NVIDIA has released Nemotron 3.5 Transcribe, an open-weight large speech model that supports 40 languages and up to 1 hour of audio per pass, and can select output formats such as verbatim, written, speaker-labeled, contextual, and translation via text instructions. The model has approximately 34B total parameters and about 4.3B activated parameters, adopts a hybrid Mamba-Transformer MoE architecture, can run in BF16 on a single H100 80GB, and the NVFP4 version at about 21GB can run on an RTX 50

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AssemblyAI has released its first text-to-speech model, AssemblyAI-TTS-1, and officially opened it up, targeting real-time telephony voice agents, priced at $15 per million characters, with no annual contracts and no concurrency tiers. The model is offered only as a hosted API in us-east-1 and eu-north-1, supports HTTP, WebSocket and OpenAI-compatible interfaces, and comes with more than 4,000 voices, instant voice cloning and 6 languages. The vendor's own testing shows 93.7% entity accuracy and

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Databricks argues that the value of a voice agent lies not in being able to converse, but in combining context, ontology, and governed data to understand callers in real time and execute rules. Its prototype uses LiveKit to carry calls, Deepgram for speech-to-text and default voice, and ElevenLabs for expressive voice, and can hand calls over to a human. The agent runs where customer data resides, connecting to order, loyalty, and CRM systems through read-only queries, and uses the DIVA blueprin

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Alex is a fully DIY AI voice assistant that uses only an ESP32-D0WD-V3 development board without PSRAM, together with an INMP441 microphone, a MAX98357A amplifier, and an SSD1306 OLED, to achieve a real-time closed loop of voice capture, Whisper transcription, GPT-generated responses, and TTS streaming playback. The project places the OLED animation on an independent FreeRTOS task on the second core, preventing the 1-to-3-second HTTP calls from freezing the display each time. During debugging, i

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The arXiv preprint "When AI Tutors Speak" studied an online MBA finance course and found that voice tutors produced more conversational interaction, but weekly mastery showed no significant difference from text within the set range of ±0.3 standard deviations, and the cost of voice delivery was about 2.8 times that of text. The study was conducted by Shihao Yang, Marshall Van Alstyne, and Chrysanthos Dellarocas, with 86 students randomly assigned to groups; ultimately 29 tutored students partici

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Rivian disclosed in its Q3 2026 earnings report that it has licensed its AI Voice Assistant technology to the Volkswagen Group through the Rivian and VW Group Technology joint venture, as part of the two companies' electrical architecture and software partnership. Rivian's software and services revenue for the quarter was $605 million, up 45% year-over-year, of which $354 million (59%) came from the joint venture. Rivian Assistant launched on the R2 in October 2026 and added Gmail integration vi

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Anthropic has upgraded the Claude mobile app. The voice mode on the iPhone version now supports Apple CarPlay, allowing users to ask Claude questions directly while driving. Claude has added 24 new languages across web, desktop, iOS and Android, bringing total support to 33 languages, while voice mode responds faster and recognizes speech more accurately in noisy environments. The iOS and Android versions also support logging in to multiple accounts simultaneously and switching between them dire

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DingTalk A1 Doukou Doctor Edition combines A1's voice recording and AI summary capabilities with Doukou's medical evidence capabilities. After doctors finish organizing case discussions or lecture content, they can also search literature, guidelines, and expert consensus around unresolved medical questions. A gynecology department director at a tertiary hospital in Hangzhou reported that on surgery days she can first record special situations and judgments, then organize them after surgery, whil

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At its inaugural India Summit, ElevenLabs signed an MoU with the Government of Karnataka, India, to explore the use of voice AI for citizen services, voice security, and voice restoration. The collaboration will begin with pilots in grievance handling, public hotlines, and welfare applications, covering Kannada and the 13 other official Indian languages already supported by the platform. ElevenLabs will also deploy a security framework covering deepfake detection, watermarking, authorization, an

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ElevenLabs announced a partnership with the Spanish ALS association adELA to give ALS patients diagnosed in Spain free access to its voice restoration and preservation technology. This is the first project of the ElevenLabs Impact Program in Spain, and Spain is the first country to offer this technology through a nationwide patient association. Patients whose speech has not yet noticeably changed can record new samples, while those whose speech has changed can upload old recordings to generate t

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Cartesia Managed Agents achieved an Elo of 1115 on the Artificial Analysis Speech Agent Arena, 98 points higher than the previous Cartesia Line (1017), with task success rate rising from 77.5% to 91.7%. The platform is Cartesia's fully managed voice agent solution, running in a cascade around a developer-selected LLM with its self-developed Ink speech-to-text and Sonic text-to-speech models; this evaluation used GPT-5.5 with the Skylar and Daniel voices. On agent tasks requiring tool calls, the

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Three studies by ElevenLabs of shoppers in the US, UK and other countries show that when shoppers were asked to actually use the ElevenLabs voice Agent first before answering, nearly half chose "speak and listen to the reply," about 30% chose "speak and read text on screen," and voice ranked first across all six shopping task categories. Among respondents who had not tried it, preference for typing led voice by more than 4:1. The more serious the problem, the less willing shoppers were to hand i

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ElevenLabs has released a practical guide on how to build an AI voice assistant by chaining speech-to-text, an LLM, and text-to-speech into a real-time pipeline. The guide recommends keeping round-trip responses within 500 ms and pairing this with VAD, while also connecting to internal knowledge bases and business tools, and putting safety measures such as verbal confirmation and handoff to a human agent in place. Developers can build directly with ElevenAPI, or configure and launch on the Eleve

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