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Raivis Dejus
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Adjusting notes
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app.py
CHANGED
@@ -109,13 +109,19 @@ transcribe = gr.Interface(
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outputs=gr.Textbox(label="Transcription", lines=15),
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title="Latvian speech recognition: Transcribe Audio",
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description=("""
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Test Latvian speech recognition (STT) models. Three models are available
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To improve speech recognition quality, more data is needed, add your voice on [Balsu talka](https://balsutalka.lv/)
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"""
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outputs=gr.Textbox(label="Transcription", lines=15),
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title="Latvian speech recognition: Transcribe Audio",
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description=("""
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Test Latvian speech recognition (STT) models. Three models are available on this demo.
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<h2>tiny</h2>
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[RaivisDejus/whisper-tiny-lv](https://huggingface.co/RaivisDejus/whisper-tiny-lv) - Fastest, requiring least RAM, but also poor accuracy. On this demo hardware 30 second audio will take ~45 seconds to transcribe.
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<h2>small</h2>
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[RaivisDejus/whisper-small-lv](https://huggingface.co/RaivisDejus/whisper-small-lv) - Reasonably fast, reasonably accurate, requiring reasonable amounts of RAM. On this demo hardware 30 second audio will take ~1 minute to transcribe.
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<h2>large</h2>
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[AiLab-IMCS-UL/whisper-large-v3-lv-late-cv17](https://huggingface.co/AiLab-IMCS-UL/whisper-large-v3-lv-late-cv17) - Most accurate, developed by scientists from [ailab.lv](https://ailab.lv/). Requires most RAM and for best performance should be run on a GPU. On this demo hardware 30 second audio will take ~4 minutes to transcribe.
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To improve speech recognition quality, more data is needed, add your voice on [Balsu talka](https://balsutalka.lv/)
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"""
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