Fix typo(s) in README.md

README.md

@@ -36,7 +36,7 @@ LFM2-Audio is an end-to-end multimodal speech and text language model, and as su
 Our model consists of a pretrained LFM2 model as its multimodal backbone, along with a FastConformer based audio encoder to handle continuous audio inputs, and a RQ-transformer generating discrete Mimi tokens as audio output.
 
 LFM2-Audio supports two distinct generation routines, each suitable for a set of tasks.
-Interleaved genration enables real-time speech-to-speech conversational chatbot capabilities, where audio generation latency is key.
+Interleaved generation enables real-time speech-to-speech conversational chatbot capabilities, where audio generation latency is key.
 Sequential generation is suited for non-conversational tasks such as ASR or TTS, and allows the model to switch generated modality on the fly. 
 
 ## 📄 Model details