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StreamSpeech

StreamSpeech

StreamSpeech offers real-time voice-to-voice translation with low latency and high quality, supporting multiple languages for efficient communication.
Author:LoRA
Inclusion Time:12 Feb 2025
Visits:3872
Pricing Model:Free
Introduction

What is StreamSpeech?

StreamSpeech is a real-time voice-to-voice translation model that uses multi-task learning to identify optimal translation moments in streaming audio input. This ensures high-quality communication across languages with minimal delay. It performs well on the CVSS benchmark and provides intermediate results like ASR or translations.

Who Can Benefit from StreamSpeech?

StreamSpeech is ideal for professionals needing real-time cross-language communication such as conference interpreters, international business communicators, and language learners. It reduces translation delays, enhancing overall communication efficiency.

Example Scenarios

In international conferences, StreamSpeech can be used for simultaneous interpretation.

For remote meetings in multinational companies, it facilitates real-time multilingual conversations.

Language learners can use it to practice listening and speaking in different languages.

Key Features

Supports stream-based speech recognition (ASR)

Offers non-autoregressive speech-to-text translation (NAR-S2TT)

Includes speech-to-unit translation (S2UT)

Generates target language speech in real time

Provides high-quality interim results during translation

Supports multiple language pairs including French to English, Spanish to English, German to English, and more

Using StreamSpeech

1. Visit the StreamSpeech website to learn more about the product.

2. Select source and target languages based on your needs.

3. Upload or input source language audio data.

4. The system will automatically recognize the speech and translate it.

5. Translated speech will be output in the target language.

6. During translation, you can view interim ASR or translation results in real time.

7. Adjust translation parameters based on feedback to improve quality.

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