# ASR-Using-Deep-Learning
Automatic Speech Recognition is a technique that processes human speech into readable text, also known as speech-to-text or transcription systems.

Reference of similar project : https://www.analyticsvidhya.com/blog/2022/06/automatic-speech-recognition-using-wav2vec2/

### About :
Automatic Speech Recognition (ASR) is an important technology to enable and improve the human-human and human-computer interactions. This technology allows users of information systems to speak entries rather than punching numbers on a keyboard.This field has grown exponentially over the past decade, the ASR systems are used in a wide range of applications extending from finance to healthcare. It is an important research area for human-to-machine communication.

Given the popularity and demand of this technology, here is an attempt to create a simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input by using Wav2Vec2.0– a-state-of-the-art speech recognition approach by Facebook and Hugging Face model hub.

#### This project is designed to create a simple speech recognition system via Deep learning approach!

### Technologies required :

 1. Deep-Learning 

 2. Hugging Face

 3. Wav2Vec2.0 Model
 
 4. Python

### System Design :

<img src="https://github.com/PrathuashaKB/ASR-Using-Deep-Learning/blob/main/images/ASR%20simplified%20architecture.png" width="100%"> 

#### "Suggestions and project improvement are invited"

#### Prathuasha K B


{}
region:us
TAGS
#region-us 

# ASR-Using-Deep-Learning
Automatic Speech Recognition is a technique that processes human speech into readable text, also known as speech-to-text or transcription systems.

Reference of similar project : URL

### About :
Automatic Speech Recognition (ASR) is an important technology to enable and improve the human-human and human-computer interactions. This technology allows users of information systems to speak entries rather than punching numbers on a keyboard.This field has grown exponentially over the past decade, the ASR systems are used in a wide range of applications extending from finance to healthcare. It is an important research area for human-to-machine communication.

Given the popularity and demand of this technology, here is an attempt to create a simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input by using Wav2Vec2.0– a-state-of-the-art speech recognition approach by Facebook and Hugging Face model hub.

#### This project is designed to create a simple speech recognition system via Deep learning approach!

### Technologies required :

 1. Deep-Learning 

 2. Hugging Face

 3. Wav2Vec2.0 Model
 
 4. Python

### System Design :

<img src="URL width="100%"> 

#### "Suggestions and project improvement are invited"

#### Prathuasha K B


# ASR-Using-Deep-Learning
Automatic Speech Recognition is a technique that processes human speech into readable text, also known as speech-to-text or transcription systems.

Reference of similar project : URL ### About :
Automatic Speech Recognition (ASR) is an important technology to enable and improve the human-human and human-computer interactions. This technology allows users of information systems to speak entries rather than punching numbers on a keyboard.This field has grown exponentially over the past decade, the ASR systems are used in a wide range of applications extending from finance to healthcare. It is an important research area for human-to-machine communication.

Given the popularity and demand of this technology, here is an attempt to create a simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input by using Wav2Vec2.0– a-state-of-the-art speech recognition approach by Facebook and Hugging Face model hub. #### This project is designed to create a simple speech recognition system via Deep learning approach! ### Technologies required :

 1. Deep-Learning 

 2. Hugging Face

 3. Wav2Vec2.0 Model
 
 4. Python ### System Design :

<img src="URL width="100%"> #### "Suggestions and project improvement are invited" #### Prathuasha K B
TAGS
#region-us 
 # ASR-Using-Deep-Learning
Automatic Speech Recognition is a technique that processes human speech into readable text, also known as speech-to-text or transcription systems.

Reference of similar project : URL ### About :
Automatic Speech Recognition (ASR) is an important technology to enable and improve the human-human and human-computer interactions. This technology allows users of information systems to speak entries rather than punching numbers on a keyboard.This field has grown exponentially over the past decade, the ASR systems are used in a wide range of applications extending from finance to healthcare. It is an important research area for human-to-machine communication.

Given the popularity and demand of this technology, here is an attempt to create a simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input by using Wav2Vec2.0– a-state-of-the-art speech recognition approach by Facebook and Hugging Face model hub. #### This project is designed to create a simple speech recognition system via Deep learning approach! ### Technologies required :

 1. Deep-Learning 

 2. Hugging Face

 3. Wav2Vec2.0 Model
 
 4. Python ### System Design :

<img src="URL width="100%"> #### "Suggestions and project improvement are invited" #### Prathuasha K B
TAGS
#region-us 
# ASR-Using-Deep-Learning
Automatic Speech Recognition is a technique that processes human speech into readable text, also known as speech-to-text or transcription systems.

Reference of similar project : URL### About :
Automatic Speech Recognition (ASR) is an important technology to enable and improve the human-human and human-computer interactions. This technology allows users of information systems to speak entries rather than punching numbers on a keyboard.This field has grown exponentially over the past decade, the ASR systems are used in a wide range of applications extending from finance to healthcare. It is an important research area for human-to-machine communication.

Given the popularity and demand of this technology, here is an attempt to create a simple speech recognition system that takes our voice as input and produces the corresponding text by hearing the input by using Wav2Vec2.0– a-state-of-the-art speech recognition approach by Facebook and Hugging Face model hub.#### This project is designed to create a simple speech recognition system via Deep learning approach!### Technologies required :

 1. Deep-Learning 

 2. Hugging Face

 3. Wav2Vec2.0 Model
 
 4. Python### System Design :

<img src="URL width="100%">#### "Suggestions and project improvement are invited"#### Prathuasha K B