Datasets:
Fix equations for KaTeX
Browse files
README.md
CHANGED
@@ -34,7 +34,7 @@ As proposed in §3.1.5 of [MMS](https://arxiv.org/abs/2305.13516), we also imple
|
|
34 |
|
35 |
$$\frac{1}{T} \left[\log P\left(Y^{\text {aligned}} \mid X\right)-\log P\left(Y^{\text {greedy}} \mid X\right)\right]$$
|
36 |
|
37 |
-
where
|
38 |
|
39 |
Like MMS, we select `−0.2` as the default threshold and choose samples with scores greater than this threshold. We call the resultant subsets `clean`, which you can load as shown in the [Usage section](#usage).
|
40 |
|
|
|
34 |
|
35 |
$$\frac{1}{T} \left[\log P\left(Y^{\text {aligned}} \mid X\right)-\log P\left(Y^{\text {greedy}} \mid X\right)\right]$$
|
36 |
|
37 |
+
where $$T$$ is the length of the audio, $$P\left(Y^{\text{aligned}} \mid X\right)$$ is the probability of the forced-alignment path, and $$P\left(Y^{\text{greedy}} \mid X\right)$$ is the probability of the greedy sequence.
|
38 |
|
39 |
Like MMS, we select `−0.2` as the default threshold and choose samples with scores greater than this threshold. We call the resultant subsets `clean`, which you can load as shown in the [Usage section](#usage).
|
40 |
|