Update README.md

README.md

@@ -61,7 +61,7 @@ For both the leaderboards, the winning teams will be required to publish their t
 
 As an evaluation metric, we are using the signal-to-distortion ratio (SDR), which is defined as,
 
-$SDR_{instr} = 10log_{10}\frac{\sum_n(s_{instr,left\ channel}(n))^2 + \sum_n(s_{instr,right\ channel}(n))^2}{\sum_n(s_{instr,left\ channel}(n) - \hat{s}_{instr,left\ channel}(n))^2 + \sum_n(s_{instr,right\ channel}(n) - \hat{s}_{instr,right\ channel}(n))^2}$
+$`SDR_{instr} = 10log_{10}\frac{\sum_n(s_{instr,left\ channel}(n))^2 + \sum_n(s_{instr,right\ channel}(n))^2}{\sum_n(s_{instr,left\ channel}(n) - \hat{s}_{instr,left\ channel}(n))^2 + \sum_n(s_{instr,right\ channel}(n) - \hat{s}_{instr,right\ channel}(n))^2}`$
 
 where $S_{instr}(n)$ is the waveform of the ground truth and Ŝ𝑖𝑛𝑠𝑡𝑟(𝑛) denotes the waveform of the estimate. The higher the SDR score, the better the output of the system is.