Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: typos in joint_tracker.py #3

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions src/jump_reward_inference/joint_tracker.py
Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,9 @@
The model first takes the waveform to the spectral domain and then feeds them into one of the pre-trained BeatNet models to obtain beat/downbeat activations.
Finally, the activations are used in a jump-reward inference model to infer beats, downbeats, tempo, and meter.

system input: Raw audio waveform
System input: Raw audio waveform

System output: a vector with beats, downbeats, local tempo, and local meter columns, respectively. shape (num_beats, 4).
System output: A vector with beats, downbeats, local tempo, and local meter columns, respectively. shape (num_beats, 4).


References:
Expand All @@ -29,8 +29,8 @@ def __init__(self, model, plot=False):

def process(self, audio_path):
preds = self.activation_estimator.activation_extractor_online(
audio_path) # extracting the activations using the BeatNet nueral network
audio_path) # extracting the activations using the BeatNet neural network
output = self.estimator.process(
preds) # infering online joing beat, downbeat, tempo and meter using the 1D state space and jump back reward technique
preds) # inferring online joint beat, downbeat, tempo and meter using the 1D state space and jump back reward technique
return output