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index.html
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This real-time speech interaction is particularly valuable in scenarios requiring rapid feedback and immediate responses, dramatically enhancing user experience.
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However, there is a notable lack of research focused on real-time large speech language models, particularly for Chinese.
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In this work, we present KE-Omni, a seamless large speech language model built upon Ke-SpeechChat, a large-scale high-quality synthesized speech interaction dataset consisting of 7 million Chinese and English conversations, featuring 42,002 speakers, and totaling over 60,000 hours, This contributes significantly to the advancement of research and development in this field.
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Furthermore, we plan to release the code and models after a thorough risk assessment
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</p>
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</div>
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<!-- Left image -->
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<div class="column is-half">
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<div class="content dialogue-block" style="display: flex; flex-direction: column; justify-content: space-between; height: 100%;">
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<h3 class="title is-4 has-text-centered">Statistics of
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<img src="./static/images/am_speech.png" alt="Statistics of KESpeechChat " style="width: 100%; height: 100%;">
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</div>
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<!-- Right image -->
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<div class="column is-half">
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<div class="content dialogue-block" style="display: flex; flex-direction: column; justify-content: space-between; height: 100%;">
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<h3 class="title is-4 has-text-centered">Subsets of
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<img src="./static/images/subset.png" alt="Subsets of KESpeechChat" style="width: 100%; height: 100%;">
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</div>
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<div class="content" style="display: flex; flex-direction: column; justify-content: space-between; height: 100%;">
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<h3 class="title is-4">User-female, Agent-female</h3>
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<p>User: 这句话:读万卷书,行万里路是什么意思呢?</p>
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<p>Agent:
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<div style="margin-top: auto;">
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<audio controls>
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<source src="./static/audios/bella_openQA_bella_openQA_916716_0_mark.wav" type="audio/wav">
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This real-time speech interaction is particularly valuable in scenarios requiring rapid feedback and immediate responses, dramatically enhancing user experience.
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However, there is a notable lack of research focused on real-time large speech language models, particularly for Chinese.
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In this work, we present KE-Omni, a seamless large speech language model built upon Ke-SpeechChat, a large-scale high-quality synthesized speech interaction dataset consisting of 7 million Chinese and English conversations, featuring 42,002 speakers, and totaling over 60,000 hours, This contributes significantly to the advancement of research and development in this field.
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<i>Furthermore, we plan to release the code and models after a thorough risk assessment.</i>
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</p>
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</div>
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<!-- Left image -->
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<div class="column is-half">
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<div class="content dialogue-block" style="display: flex; flex-direction: column; justify-content: space-between; height: 100%;">
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<h3 class="title is-4 has-text-centered">Statistics of Ke-SpeechChat</h3>
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<img src="./static/images/am_speech.png" alt="Statistics of KESpeechChat " style="width: 100%; height: 100%;">
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</div>
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</div>
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<!-- Right image -->
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<div class="column is-half">
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<div class="content dialogue-block" style="display: flex; flex-direction: column; justify-content: space-between; height: 100%;">
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<h3 class="title is-4 has-text-centered">Subsets of Ke-SpeechChat</h3>
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<img src="./static/images/subset.png" alt="Subsets of KESpeechChat" style="width: 100%; height: 100%;">
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</div>
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</div>
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<div class="content" style="display: flex; flex-direction: column; justify-content: space-between; height: 100%;">
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<h3 class="title is-4">User-female, Agent-female</h3>
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<p>User: 这句话:读万卷书,行万里路是什么意思呢?</p>
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<p>Agent: 这句话的意思是说读书和实践都很重要。读万卷书指的是要多读书,增长知识;行万里路则是指要多出去走走,增长见识。结合起来就是理论和实践都要兼顾,这样才能更好地成长。</p>
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<div style="margin-top: auto;">
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<audio controls>
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<source src="./static/audios/bella_openQA_bella_openQA_916716_0_mark.wav" type="audio/wav">
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static/audios/bella_openQA_bella_openQA_916716_1_mark.wav
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:0634a8e7103c9001bb66bde4a6cbb3cc36c549de7b699127d8e9554d65c130ea
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size 1486730
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