docs: typos conditioning.md

docs/CONDITIONING.md

@@ -15,7 +15,7 @@ For now, we support 3 main types of conditioning within AudioCraft:
 * Joint embedding conditioning methods for text and audio projected in a shared latent space.
 
 The Language Model relies on 2 core components that handle processing information:
-* The `ConditionProvider` class, that maps metadata to processed conditions leveraging
+* The `ConditionProvider` class, that maps metadata to processed conditions, leveraging
 all the defined conditioners for the given task.
 * The `ConditionFuser` class, that takes preprocessed conditions and properly fuse the
 conditioning embedding to the language model inputs following a given fusing strategy.
@@ -29,7 +29,7 @@ conditioning signals and feed them to the language model.
 
 ### Conditioners
 
-The `BaseConditioner` torch module is the base implementation for all conditioners in audiocraft.
+The `BaseConditioner` torch module is the base implementation for all conditioners in AudioCraft.
 
 Each conditioner is expected to implement 2 methods:
 * The `tokenize` method that is used as a preprocessing method that contains all processing
@@ -47,8 +47,8 @@ providing the processing logic for the given attribute.
 
 Similarly to the conditioners, the condition provider works in two steps to avoid sychronization points:
 * A `tokenize` method that takes a list of conditioning attributes for the batch,
-and run all tokenize steps for the set of conditioners.
-* A `forward` method that takes the output of the tokenize step and run all the forward steps
+and runs all tokenize steps for the set of conditioners.
+* A `forward` method that takes the output of the tokenize step and runs all the forward steps
 for the set of conditioners.
 
 The list of conditioning attributes is passed as a list of `ConditioningAttributes`
@@ -111,15 +111,15 @@ frozen or fine-tuned at train time to extract the text embeddings.
 ### Waveform conditioners
 
 All waveform conditioners are expected to inherit from the `WaveformConditioner` class and
-consists of conditioning method that takes a waveform as input. The waveform conditioner
+consist of a conditioning method that takes a waveform as input. The waveform conditioner
 must implement the logic to extract the embedding from the waveform and define the downsampling
 factor from the waveform to the resulting embedding.
 
 The `ChromaStemConditioner` conditioner is a waveform conditioner for the chroma features
-conditioning used by MusicGen. It takes a given waveform, extract relevant stems for melody
+conditioning used by MusicGen. It takes a given waveform, extracts relevant stems for melody
 (namely all non drums and bass stems) using a
 [pre-trained Demucs model](https://github.com/facebookresearch/demucs)
-and then extract the chromagram bins from the remaining mix of stems.
+and then extracts the chromagram bins from the remaining mix of stems.
 
 ### Joint embeddings conditioners