Simple Speech to Text, Text to Speech

Last update: Dec 28, 2021

Related tags

Text Data & NLP simple-stt-tts

Overview

Simple Speech to Text, Text to Speech

1. Download Repository

Opsi 1
- Download repository ini, extract di lokasi yang diinginkan
Opsi 2
- Jika sudah familiar dengan git, silahkan clone repository ini di lokasi yang diinginkan
```
git clone https://github.com/rasyidev/simple-stt-tts.git
```

2. Instalasi Library

SpeechRecognition
```
pip install SpeechRecognition
```
pysound
```
pip install pysound
```
gTTS
```
pip install gTTS
```
pyaudio
- Untuk Windows
  - Python versi 3.8 64 bit pip install PyAudio-0.2.11-cp38-cp38-win_amd64.whl
  - Untuk python versi lain silahkan kunjungi link dan download sesuai dengan versi python yang sedang digunakan
- Untuk Linux
```
pip3 install python3-pyaudio
```

3. Jalankan Program

python main.py

Referensi

Owner

Habib Abdurrasyid

Curious Learner | Backend Developer | AI Enthusiast

GitHub Repository

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Simple Speech to Text, Text to Speech

Related tags

Overview

Simple Speech to Text, Text to Speech

1. Download Repository

2. Instalasi Library

3. Jalankan Program

Referensi

Owner

Habib Abdurrasyid

The source code of HeCo

Huggingface Transformers + Adapters = ❤️

PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

STT for TorchScript is a port of Coqui STT based on DeepSpeech to PyTorch.

Various Algorithms for Short Text Mining

Trained T5 and T5-large model for creating keywords from text

SummerTime - Text Summarization Toolkit for Non-experts

Twitter-Sentiment-Analysis - Twitter sentiment analysis for india's top online retailers(2019 to 2022)

Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

Example code for "Real-World Natural Language Processing"

Chinese real time voice cloning (VC) and Chinese text to speech (TTS).

Tool to add main subject to items on Wikidata using a WMFs CirrusSearch for named entity recognition or a manually supplied list of QIDs

📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation

Label data using HuggingFace's transformers and automatically get a prediction service

Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.

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