add references

README.md

@@ -25,6 +25,8 @@ You will find a lot of borrowed code and trained neural nets from other reposito
 We want to thank the following repositories for providing open-source solutions:
 - [silero-vad](https://github.com/snakers4/silero-vad)
 - [speech-commands](https://github.com/douglas125/SpeechCmdRecognition)
+- [speechbrain](https://github.com/speechbrain/speechbrain)
+
 
 Usage
 -------------- 

examples/vad_and_kws/README.md

-# Voice Activity Detection for Keyword Spotting
-In this example we will use two artificial neural networks. After gathering a chunk of audio we will check if there it contains human speech. This process is called Voice Activity Detection (VAD). If a voice is detected we start accumulating audio in order to feed the Keyword Spotting System (KWS). The KWS may be exchanged with any other AI that feeds on speech.
+# Voice Activity Detection for Spoken Language Identification
+In this example we will use two artificial neural networks. After gathering a chunk of audio we will check if there it contains human speech. This process is called Voice Activity Detection (VAD). If a voice is detected we start accumulating audio in order to feed the Spoken Language Indenifier (LID). The indentifier may be exchanged with any other AI that feeds on speech.
 
 Parts of this code are heavily borrowed from:
 - [silero-vad](https://github.com/snakers4/silero-vad)
-- [speech-commands](https://github.com/douglas125/SpeechCmdRecognition)
+- [speechbrain lid](https://github.com/speechbrain/speechbrain)
 
-Please check out [this fork of speech-commands](https://github.com/bytosaur/SpeechCmdRecognition) to train on specific words.
 
 ### Installing Python Requirements
 __Note__: We suggest using virtual environments for dealing with python code.