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Título: “Explorando o Potencial do Amphion: A Evolução das Ferramentas de Voz em IA no Serviço Público”
No cenário contemporâneo, a tecnologia de Inteligência Artificial (IA) vem transformando diversas áreas, e uma das inovações mais impactantes é a ferramenta de texto para fala (TTS) chamada Amphion. Com recursos gratuitos e de código aberto, essa ferramenta se destaca pela qualidade de suas produções sonoras, sendo considerada por muitos superior a outras opções no mercado, como o Bark.
Como servidor público há mais de 16 anos, vejo um grande potencial na aplicação de tecnologias como o Amphion para melhorar a comunicação e a transparência no serviço público. Por exemplo, essa ferramenta pode ser utilizada para criar conteúdos em áudio acessíveis, facilitando a compreensão de informações essenciais para a população, como normativas, serviços disponíveis e campanhas de conscientização.
Além disso, a personalização que o Amphion oferece pode ser aplicada para atender diferentes públicos, respeitando a diversidade linguística e cultural das comunidades que servimos. Isso pode impactar diretamente a participação cidadã, promovendo um diálogo mais inclusivo e facilitando o acesso à informação.
No entanto, é fundamental refletir sobre como a adoção dessa tecnologia deve ser feita de maneira ética e responsável. A implementação de IAs no setor público requer cuidados em relação à privacidade, à segurança dos dados e à veracidade das informações veiculadas.
Em suma, o uso de ferramentas como Amphion no serviço público pode ser um grande passo em direção a um governo mais acessível e eficiente. Convido todos a pensarem sobre como podemos integrar essas inovações no nosso dia a dia, sempre em prol do bem comum e da melhoria dos serviços oferecidos à sociedade.
Aprenda tudo sobre automações do n8n, typebot, google workspace, IA, chatGPT entre outras ferramentas indispensáeis no momento atual para aumentar a sua produtividade e eficiência.
Vamos juntos dominar o espaço dos novos profissionais do futuro!!!
#FREE #Voice #Tool #Opensource #TexttoSpeech #TTS #Amphion #Bark
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is this another content creation video about yet another exciting bleeding edge AI tool that almost nobody will be successful at installing and using, and will become abandonware a year ago? I'm at my wits end trying to get Coqui, XTTS, or anything to work (for TTS purposes) and it's all just one groundhog day of nothing working. My typical day involves adding 10 more github tabs to my browser, git cloning, installing pytorch for the 50th time and reading new and exciting errors. update: Amphion won't even finish installing without going into an install/uninstall loop and finally exiting with errors, which is unsurprising.
Especially for the non-techies like me.
This looks good but I wish you would go through the process step by step and a bit slowly as we are overwhelmed. Too fast.
Does that LOCAL AI Voices support Indonesian language?
Does anyone knows how can I change Ubuntu's default whisper Voice? it has only Default, I want some like Zira and Mike from windows. lol
Not free
The super easy method doesn't work for me either… 🙁
Traceback (most recent call last):
File "F:AItoolsPinokioapioobabooga.pinokio.gittext-generation-webuimodulesui_model_menu.py", line 242, in load_model_wrapper
shared.model, shared.tokenizer = load_model(selected_model, loader)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:AItoolsPinokioapioobabooga.pinokio.gittext-generation-webuimodulesmodels.py", line 87, in load_model
output = load_func_map[loader](model_name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:AItoolsPinokioapioobabooga.pinokio.gittext-generation-webuimodulesmodels.py", line 140, in huggingface_loader
config = AutoConfig.from_pretrained(path_to_model, trust_remote_code=params['trust_remote_code'])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:AItoolsPinokioapioobabooga.pinokio.gittext-generation-webuiinstaller_filesenvLibsite-packagestransformersmodelsautoconfiguration_auto.py", line 1100, in from_pretrained
config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:AItoolsPinokioapioobabooga.pinokio.gittext-generation-webuiinstaller_filesenvLibsite-packagestransformersconfiguration_utils.py", line 634, in get_config_dict
config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:AItoolsPinokioapioobabooga.pinokio.gittext-generation-webuiinstaller_filesenvLibsite-packagestransformersconfiguration_utils.py", line 689, in _get_config_dict
resolved_config_file = cached_file(
^^^^^^^^^^^^
File "F:AItoolsPinokioapioobabooga.pinokio.gittext-generation-webuiinstaller_filesenvLibsite-packagestransformersutilshub.py", line 356, in cached_file
raise EnvironmentError(
OSError: modelsamphion_valle_librilight_6k does not appear to have a file named config.json. Checkout 'https://huggingface.co/modelsamphion_valle_librilight_6k/None' for available files.
'sh' is not recognized as an internal or external command,
operable program or batch file.
What's the difference between large language models in text to speech
FREE AI Voice Tool: Text-to-Speech (TTS) & Voice Cloning – MetaVoice https://youtu.be/gVKbf31hrYs
I'm looking for Good TTS inference I can run on CPU or older AMD GPU. Preferably with a huge library of community trained voices I could download and try out.
I just heard Pheme today (I'm not sure if it's more than a white paper yet).
I've heard Tortoise is good but slow. I'm not sure if that's still true as there seem to be ways to make it faster.
SVC2 is more for voice changing, I don't think it can do TTS.
I've heard Coqui is quite good.
Amphion sounds interesting as it can generate sounds as well as TTS.
Tortoise sounds way better in the example..
11:16 consecrated braid? why would that put up that broken example as a sample
How many GB is required to run this?
Love this! I will checking out this tool out!
🎯 Key Takeaways for quick navigation:
00:00 🌐 Amphion is an open-source text-to-speech model that can generate audio, music, and speech.
01:02 📚 Aimed at supporting reproducible research and helping junior researchers and engineers in audio, music, and speech generation.
01:30 🆓 Amphion is a free, open-source alternative to other text-to-speech models like Bark, with various audio generation capabilities.
03:26 🧠 Amphion's platform allows for studying the conversion of different inputs into audio, not just generating audio but also understanding the process.
05:03 🔍 Unique feature: Amphion offers visualization in audio generation, a feature not commonly found in similar toolkits.
Made with HARPA AI
OpenChat UPDATE: Best Opensource 7B Model EVER! Better Than ChatGPT & Mistral!: https://youtu.be/Vlr7Xz6bNWQ
support Spanish?
after listening to those samples in 10:44, I find the reading in Tortoise is more natural which close to human speaking than Amphion. 2nd would be ESPNet.