We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Three new TTS engines and GPU support

Today, AWS announced the availability of Qwen3-TTS-12Hz-1.7B-CustomVoice, Qwen3-TTS-12Hz-1.7B-Base, and Qwen3-ASR-1.7B in Amazon SageMaker JumpStart, expanding the portfolio of foundation models available to AWS customers. These three models from Qwen bring advanced speech synthesis and recognition capabilities across 10+ languages, enabling customers to build intelligent voice-powered applications on AWS infrastructure. These models address different enterprise speech and audio challenges with specialized capabilities: Qwen3-TTS-12Hz-1.7B-CustomVoice excels at multilingual text-to-speech with customizable voice styles, supporting 10 languages with instruction-driven control over timbre, emotion, and prosody. It is ideal for building real-time interactive voice applications, customer-facing virtual assistants, and content creation workflows that require natural, expressive speech output. Qwen3-TTS-12Hz-1.7B-Base excels at multilingual text-to-speech with 3-second rapid voice cloning from audio input. It is ideal for building custom voice applications, fine-tuning domain-specific speech synthesis, and scenarios where developers need a flexible foundation model for voice generation. Qwen3-ASR-1.7B excels at automatic speech recognition supporting 52 languages and dialects with state-of-the-art accuracy in complex acoustic environments. It is ideal for transcription services, multilingual customer support, real-time captioning, and applications that require robust streaming and offline speech-to-text. With SageMaker JumpStart, customers can deploy any of these models with just a few clicks to address their specific AI use cases. To get started with these models, navigate to the Models section of SageMaker Studio or use the SageMaker Python SDK to deploy the models to your AWS account. For more information about deploying and using foundation models in SageMaker JumpStart, see the Amazon SageMaker JumpStart documentation.

Open-source text-to-speech powered by QWEN3-TTS **→ The app is already online. You can try it at anyspeak.ai and check repo on anyspeak-ai · GitHub ** Features * **TTS:** Multiple voices and Qwen3-TTS models (1.7B CustomVoice, VoiceDesign, Base). Supported languages: Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish. * **Speaker tags:** Use `[SPEAKER_NAME]` in text for multi-speaker output. * **Mood tags:** Use `[SPEAKER:mood]` (e.g. `[VIVIAN:happy]`) for emotional expressiveness. * **Timing tags:** Use `[SPEAKER:mood:timing]` (e.g. `[RYAN:+1.5]` for 1.5 s pause after, `[VIVIAN:happy:-0.3]` for shorter gap or even speaker overlapping) or the + TIMING button to control pacing between segments. * **Custom voices:** Voice Design by selecting attributes (gender, language, old/young, slow/fast, high/low, loud/soft, warm/rough). * **CLEAN:** Analyze and clean text for better TTS output. * **CHECK:** Quality check with Whisper (compare original vs. synthesized). * **IMPROVE:** Post-process generated audio by chunk: selectively regenerate mispronounced segments, trim silence, add pauses, or edit text and re-generate. Compare original vs. improved before applying. You can also edit finished MP3s afterward (e.g. different wording or different speaker at a specific place) without regenerating everything. * **VIDEO:** Create video from audio and images (with optional subtitles). * **Load & Save (MP3):** Load and save via MP3. Very powerful: you can continue working at the same place, and files store the original text with tags in their metadata. * **Import:** Load text from URL or file. * Run local - easy installation

Open-source text-to-speech powered by QWEN3-TTS **→ The app is already online. You can try it at anyspeak.ai and check repo on anyspeak-ai · GitHub ** Features * **TTS:** Multiple voices and Qwen3-TTS models (1.7B CustomVoice, VoiceDesign, Base). Supported languages: Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish. * **Speaker tags:** Use `[SPEAKER_NAME]` in text for multi-speaker output. * **Mood tags:** Use `[SPEAKER:mood]` (e.g. `[VIVIAN:happy]`) for emotional expressiveness. * **Timing tags:** Use `[SPEAKER:mood:timing]` (e.g. `[RYAN:+1.5]` for 1.5 s pause after, `[VIVIAN:happy:-0.3]` for shorter gap or even speaker overlapping) or the + TIMING button to control pacing between segments. * **Custom voices:** Voice Design by selecting attributes (gender, language, old/young, slow/fast, high/low, loud/soft, warm/rough). * **CLEAN:** Analyze and clean text for better TTS output. * **CHECK:** Quality check with Whisper (compare original vs. synthesized). * **IMPROVE:** Post-process generated audio by chunk: selectively regenerate mispronounced segments, trim silence, add pauses, or edit text and re-generate. Compare original vs. improved before applying. You can also edit finished MP3s afterward (e.g. different wording or different speaker at a specific place) without regenerating everything. * **VIDEO:** Create video from audio and images (with optional subtitles). * **Load & Save (MP3):** Load and save via MP3. Very powerful: you can continue working at the same place, and files store the original text with tags in their metadata. * **Import:** Load text from URL or file. * Run local - easy installation

Open-source text-to-speech powered by QWEN3-TTS **→ The app is already online. You can try it at anyspeak.ai and check repo on anyspeak-ai · GitHub ** Features * **TTS:** Multiple voices and Qwen3-TTS models (1.7B CustomVoice, VoiceDesign, Base). Supported languages: Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish. * **Speaker tags:** Use `[SPEAKER_NAME]` in text for multi-speaker output. * **Mood tags:** Use `[SPEAKER:mood]` (e.g. `[VIVIAN:happy]`) for emotional expressiveness. * **Timing tags:** Use `[SPEAKER:mood:timing]` (e.g. `[RYAN:+1.5]` for 1.5 s pause after, `[VIVIAN:happy:-0.3]` for shorter gap or even speaker overlapping) or the + TIMING button to control pacing between segments. * **Custom voices:** Voice Design by selecting attributes (gender, language, old/young, slow/fast, high/low, loud/soft, warm/rough). * **CLEAN:** Analyze and clean text for better TTS output. * **CHECK:** Quality check with Whisper (compare original vs. synthesized). * **IMPROVE:** Post-process generated audio by chunk: selectively regenerate mispronounced segments, trim silence, add pauses, or edit text and re-generate. Compare original vs. improved before applying. You can also edit finished MP3s afterward (e.g. different wording or different speaker at a specific place) without regenerating everything. * **VIDEO:** Create video from audio and images (with optional subtitles). * **Load & Save (MP3):** Load and save via MP3. Very powerful: you can continue working at the same place, and files store the original text with tags in their metadata. * **Import:** Load text from URL or file. * Run local - easy installation

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.