# Troubleshooting Some people may encounter some issues and errors on colab page. Here's a list of things of errors that you have: ## List of errors ### Wavs are not in mono and the sample rate is incorrect ``` RuntimeError: shape '[1, 1, 51652]' is invalid for input of size ``` ``` ValueError: wavs/6.wav 192000 SR doesn't match target 22050 SR ``` Well, that error meaning you have stereo and not mono and your sample rate is not 22050. You need to convert your audio files into mono and sample rate 22050. There should be a batch conversion tutorial if you have already done that with audios. {% content-ref url="/pages/-MbfFRagFFDqGE\_pAN7O" %} [FFmpeg/FFBatch Tutorial (WIN/MAC/Linux Only)](/uberduck-written-tutorial/gathering-dialogs/intro/ffmpeg-ffbatch-tutorial-win-mac-linux-only-for-ffmpeg-advanced-users-only.md) {% endcontent-ref %} ### Wavs are corrupted. ``` ValueError: Incomplete wav chunk. ``` One of your wavs is probably corrupted. ### Model is broken ``` PytorchStreamReader failed reading zip archive: failed finding central directory ``` Apparently, your model seems to be corrupted. What you wanna do is to retrain from scratch (by deleting your model on your google drive and start over) ### Oops, I have some empty lines on my text file. ``` IndexError: list index out of range ``` Your text document has some empty lines to it, remove some empty lines and you should be good to go. ### I got this lady's default voice, which is that's not my model. What to do? You have probably low audios, it needs more audios to train tacotron. Go up to 50 or 100 and do the training process. Or probably tacotron bug. It must be iterations go up. Which it should be always 0. ### I ran in to CUDA's Out of memory. ``` RuntimeError: CUDA out of memory. Tried to allocate 20.00 MiB (GPU 0; 14.76 GiB total capacity; 13.12 GiB already allocated; 15.75 MiB free; 13.71 GiB reserved in total by PyTorch) ``` You need to lower your batch size, try lowering it somewhere 17 or 15 and you should be good to go. Remember, don't put batch size too much. ### I can't hear anything on synthesis page. Probably because on Uberduck's synthesis colab page (Waveglow) doesn't have supported GPU. Especially, let's say it doesn't show which GPU been used. Remember, you need at least * P100 * V100 * T4 And not K80 or P4. If you get these GPU that is not on list then do Factory reset via, Runtime --> Factory Reset Runtime. And remember it should be pop up on your side, or else if it doesn't pop up, you won't just factory reset. ### The wavs are in non-data ``` WavFileWarning: Chunk (non-data) not understood, skipping it. ``` Most likely, some of a wavs have some metadata, it needs to be cleared away. The easiest way to do is using Foobar2000, just drag all your wav files, select all, right click and select properties and you should see metadata, you need to clear all of it, once it's clear, generate mels again. ## Feedback If you have some lists of errors and answers on that, I'll be happy to put them on my guide. Just ping me on uberduck's discord server (i disabled server dm's for myself so I won't get random dm's like that, especially I'm not accepting any discord friends requests unless I know you or met you before) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://uberduck-guide.gitbook.io/uberduck-written-tutorial/troubleshoot-and-bugs/troubleshoot-and-bugs.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.