SMART WORLDJOURNALSubmit Manuscript
← All technology news

Artificial Intelligence

AWS SageMaker JumpStart Expands with Advanced Speech Recognition and Text-to-Speech Models

AWS added three foundation models from Qwen to SageMaker JumpStart, enhancing multilingual speech synthesis and recognition capabilities for voice-powered applications across over 10 languages.

AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE

Retrospective edition: 2026-05-19. Source published: 2026-05-14. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.

The three models include Qwen3-TTS-12Hz-1.7B-CustomVoice for customizable expressive text-to-speech in multiple languages; Qwen3-TTS-12Hz-1.7B-Base for rapid voice cloning and flexible speech synthesis; and Qwen3-ASR-1.7B for automatic speech recognition supporting 52 languages and dialects with high accuracy in complex acoustic settings.

These models facilitate development of real-time interactive voice assistants, transcription services, and multilingual support scenarios. Deployment is streamlined via SageMaker Studio or Python SDK, allowing customers to address varied enterprise needs in speech AI through managed AWS infrastructure.

Source & further reading

Three new models for speech recognition and text-to-speech are now available in Amazon SageMaker JumpStart ↗

Source published 2026-05-14. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.