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🔊 Speech To Text ( Sesten Metine Çevirme ) Uygulaması ! 🔍📄
Herkese Merhaba !

🚀 Sesli notlarınızı veya ses dosyalarınızı kolayca metne dönüştürmek için geliştirdiğim Streamlit tabanlı uygulamamı sizinle paylaşıyorum. 🎙️✨

Uygulama Özellikleri:
🎤🔗 Canlı ses kaydı veya ses dosyalarını yükleme seçeneği

🗣️🇹🇷 Türkçe dil desteği ile güçlü ses tanıma algoritması

📝💾 Sonuçları metin dosyasına kaydetme özelliği

Canlı ses kaydı için "Başla" butonuna tıklayın veya ses dosyasını yükleyin.

Tanıma işlemi tamamlandığında metin sonuçları ekranın altında görüntülenir.

Ve arka planda .txt formatı ile kaydedilir.

🔊 Speech To Text (Speech to Text) Application! 🔍📄
Hello Everyone!

🚀 I'm excited to share with you my Streamlit-based application that I developed for easily converting your voice notes or audio files into text. 🎙️✨

Application Features:
🎤🔗 Option to record live audio or upload audio files

🗣️🇹🇷 Powerful speech recognition algorithm with support for the Turkish language

📝💾 Ability to save results to a text file

Click the "Start" button for live audio recording or upload an audio file.

Once the recognition process is complete, the text results will be displayed below the screen.

And in the background, it is saved in .txt format.

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  license: apache-2.0
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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+ ## Model Details
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+ ### Model Sources [optional]
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ### Direct Use
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+ [More Information Needed]
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+ ### Downstream Use [optional]
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+ [More Information Needed]
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+ ### Out-of-Scope Use
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ [More Information Needed]
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+ ## Bias, Risks, and Limitations
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+ [More Information Needed]
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+ ### Recommendations
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+ ## Training Details
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+ ### Training Data
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ [More Information Needed]
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+ ### Training Procedure
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing [optional]
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+ [More Information Needed]
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ #### Speeds, Sizes, Times [optional]
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ [More Information Needed]
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+ ## Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+ ### Testing Data, Factors & Metrics
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+ [More Information Needed]
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+ #### Factors
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ [More Information Needed]
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+ #### Metrics
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+ [More Information Needed]
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+ ### Results
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+ #### Summary
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+ ## Model Examination [optional]
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+ ## Environmental Impact
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ - **Hardware Type:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+ ## Technical Specifications [optional]
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+ ### Model Architecture and Objective
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+ ### Compute Infrastructure
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+ #### Software
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+ ## Citation [optional]
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+ **BibTeX:**
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+ ## Glossary [optional]
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+ ## More Information [optional]
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+ ## Model Card Authors [optional]
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+ ## Model Card Contact
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