Speech recognition is the process of converting audio into text. This is commonly used in voice assistants like Alexa, Siri, etc. Python provides an API called SpeechRecognition to allow us to convert audio into text for further processing. In this article, we will look at converting large or long audio files into text using the SpeechRecognition API in python.
Processing Large audio files
When the input is a long audio file, the accuracy of speech recognition decreases. Moreover, Google speech recognition API cannot recognize long audio files with good accuracy. Therefore, we need to process the audio file into smaller chunks and then feed these chunks to the API. Doing this improves accuracy and allows us to recognize large audio files.
Splitting the audio based on silence
One way to process the audio file is to split it into chunks of constant size. For example, we can take an audio file which is 10 minutes long and split it into 60 chunks each of length 10 seconds. We can then feed these chunks to the API and convert speech to text by concatenating the results of all these chunks. This method is inaccurate. Splitting the audio file into chunks of constant size might interrupt sentences in between and we might lose some important words in the process. This is because the audio file might end before a word is completely spoken and google will not be able to recognize incomplete words.
The other way is to split the audio file based on silence. Humans pause for a short amount of time between sentences. If we can split the audio file into chunks based on these silences, then we can process the file sentence by sentence and concatenate them to get the result. This approach is more accurate than the previous one because we do not cut sentences in between and the audio chunk will contain the entire sentence without any interruptions. This way, we don’t need to split it into chunks of constant length.
The disadvantage of this method is that it is difficult to determine the length of silence to split because different users speak differently and some users might pause for 1 second in between sentences whereas some may pause for just 0.5 seconds.
Pydub: sudo pip3 install pydub Speech recognition: sudo pip3 install SpeechRecognition
Input: peacock.wav Output: exporting chunk0.wav Processing chunk 0 exporting chunk1.wav Processing chunk 1 exporting chunk2.wav Processing chunk 2 exporting chunk3.wav Processing chunk 3 exporting chunk4.wav Processing chunk 4 exporting chunk5.wav Processing chunk 5 exporting chunk6.wav Processing chunk 6
recognized.txt: The peacock is the national bird of India. They have colourful feathers, two legs and a small beak. They are famous for their dance. When a peacock dances it spreads its feathers like a fan. It has a long shiny dark blue neck. Peacocks are mostly found in the fields they are very beautiful birds. The females are known as 'Peahen1. Their feathers are used for making jackets, purses etc. We can see them in a zoo.
- Speech Recognition in Python using Google Speech API
- Python - Add audio files in kivy
- Python: Convert Speech to text and text to Speech
- Convert Text to Speech in Python
- Python | Text to Speech by using pyttsx3
- Python | Face recognition using GUI
- Python | Part of Speech Tagging using TextBlob
- Text-To-Speech changing voice in Python
- Python | Convert image to text and then to speech
- Python Text To Speech | pyttsx module
- Convert Text to Speech in Python using win32com.client
- Python | Named Entity Recognition (NER) using spaCy
- Python | Multiple Face Recognition using dlib
- Part of Speech Tagging with Stop words using NLTK in python
- Python | Reading contents of PDF using OCR (Optical Character Recognition)
- Google Chrome Dino Bot using Image Recognition | Python
- Video to Audio convert using Python
- Python | Playing audio file in Pygame
- YouTube Media/Audio Download using Python | pafy
- Upload files in Python
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.
Improved By : shubham_singh