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editing the pr #310 and merging

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Eren Golge committed 2019-11-14 16:14:01 +01:00
1 parent 574de86b9b
commit 8af75cad46
4 files changed
+42 -485
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requirements.txt
+1
View File
@@ -11,3 +11,4 @@ scipy==0.19.0
tqdm
git+git://github.com/bootphon/phonemizer@master
soundfile
bokeh==1.4.0
setup.py
+1
View File
@@ -87,6 +87,7 @@ setup(
"flask",
# "lws",
"tqdm",
"bokeh==1.4.0",
"soundfile",
"phonemizer @ https://github.com/bootphon/phonemizer/tarball/master",
],
speaker_encoder/compute_embeddings.py
+15 -6
View File
@@ -11,17 +11,26 @@ from TTS.utils.audio import AudioProcessor
from TTS.utils.generic_utils import load_config
parser = argparse.ArgumentParser(
description="Compute embedding vectors for each wav file in a dataset. "
description='Compute embedding vectors for each wav file in a dataset. ')
parser.add_argument(
'model_path',
type=str,
help='Path to model outputs (checkpoint, tensorboard etc.).')
parser.add_argument(
'config_path',
type=str,
help='Path to config file for training.',
)
parser.add_argument(
'data_path',
type=str,
help='Data path for wav files - directory or CSV file')
parser.add_argument(
"config_path", type=str, help="Path to config file for training.",
)
'output_path',
type=str,
help='path for training outputs.')
parser.add_argument(
"data_path", type=str, help="Defines the data path. It overwrites config.json."
'--use_cuda', type=bool, help='flag to set cuda.', default=False
)
parser.add_argument(
'--separator', type=str, help='Separator used in file if CSV is passed for data_path', default='|'
@@ -30,7 +39,7 @@ args = parser.parse_args()
c = load_config(args.config_path)
ap = AudioProcessor(**c["audio"])
ap = AudioProcessor(**c['audio'])
data_path = args.data_path
split_ext = os.path.splitext(data_path)
@@ -65,7 +74,7 @@ for output_file in output_files:
os.makedirs(os.path.dirname(output_file), exist_ok=True)
model = SpeakerEncoder(**c.model)
model.load_state_dict(torch.load(args.model_path)["model"])
model.load_state_dict(torch.load(args.model_path)['model'])
model.eval()
if args.use_cuda:
model.cuda()
speaker_encoder/notebooks/PlotUmapLibriTTS.ipynb
+25 -479
View File
@@ -13,7 +13,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -48,322 +48,9 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <div class=\"bk-root\">\n",
" <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
" <span id=\"1001\">Loading BokehJS ...</span>\n",
" </div>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/javascript": [
"\n",
"(function(root) {\n",
" function now() {\n",
" return new Date();\n",
" }\n",
"\n",
" var force = true;\n",
"\n",
" if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
" root._bokeh_onload_callbacks = [];\n",
" root._bokeh_is_loading = undefined;\n",
" }\n",
"\n",
" var JS_MIME_TYPE = 'application/javascript';\n",
" var HTML_MIME_TYPE = 'text/html';\n",
" var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
" var CLASS_NAME = 'output_bokeh rendered_html';\n",
"\n",
" /**\n",
" * Render data to the DOM node\n",
" */\n",
" function render(props, node) {\n",
" var script = document.createElement(\"script\");\n",
" node.appendChild(script);\n",
" }\n",
"\n",
" /**\n",
" * Handle when an output is cleared or removed\n",
" */\n",
" function handleClearOutput(event, handle) {\n",
" var cell = handle.cell;\n",
"\n",
" var id = cell.output_area._bokeh_element_id;\n",
" var server_id = cell.output_area._bokeh_server_id;\n",
" // Clean up Bokeh references\n",
" if (id != null && id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
"\n",
" if (server_id !== undefined) {\n",
" // Clean up Bokeh references\n",
" var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
" cell.notebook.kernel.execute(cmd, {\n",
" iopub: {\n",
" output: function(msg) {\n",
" var id = msg.content.text.trim();\n",
" if (id in Bokeh.index) {\n",
" Bokeh.index[id].model.document.clear();\n",
" delete Bokeh.index[id];\n",
" }\n",
" }\n",
" }\n",
" });\n",
" // Destroy server and session\n",
" var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
" cell.notebook.kernel.execute(cmd);\n",
" }\n",
" }\n",
"\n",
" /**\n",
" * Handle when a new output is added\n",
" */\n",
" function handleAddOutput(event, handle) {\n",
" var output_area = handle.output_area;\n",
" var output = handle.output;\n",
"\n",
" // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
" if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
" return\n",
" }\n",
"\n",
" var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
"\n",
" if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
" toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
" // store reference to embed id on output_area\n",
" output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
" }\n",
" if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
" var bk_div = document.createElement(\"div\");\n",
" bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
" var script_attrs = bk_div.children[0].attributes;\n",
" for (var i = 0; i < script_attrs.length; i++) {\n",
" toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
" }\n",
" // store reference to server id on output_area\n",
" output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
" }\n",
" }\n",
"\n",
" function register_renderer(events, OutputArea) {\n",
"\n",
" function append_mime(data, metadata, element) {\n",
" // create a DOM node to render to\n",
" var toinsert = this.create_output_subarea(\n",
" metadata,\n",
" CLASS_NAME,\n",
" EXEC_MIME_TYPE\n",
" );\n",
" this.keyboard_manager.register_events(toinsert);\n",
" // Render to node\n",
" var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
" render(props, toinsert[toinsert.length - 1]);\n",
" element.append(toinsert);\n",
" return toinsert\n",
" }\n",
"\n",
" /* Handle when an output is cleared or removed */\n",
" events.on('clear_output.CodeCell', handleClearOutput);\n",
" events.on('delete.Cell', handleClearOutput);\n",
"\n",
" /* Handle when a new output is added */\n",
" events.on('output_added.OutputArea', handleAddOutput);\n",
"\n",
" /**\n",
" * Register the mime type and append_mime function with output_area\n",
" */\n",
" OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
" /* Is output safe? */\n",
" safe: true,\n",
" /* Index of renderer in `output_area.display_order` */\n",
" index: 0\n",
" });\n",
" }\n",
"\n",
" // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
" if (root.Jupyter !== undefined) {\n",
" var events = require('base/js/events');\n",
" var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
"\n",
" if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
" register_renderer(events, OutputArea);\n",
" }\n",
" }\n",
"\n",
" \n",
" if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
" root._bokeh_timeout = Date.now() + 5000;\n",
" root._bokeh_failed_load = false;\n",
" }\n",
"\n",
" var NB_LOAD_WARNING = {'data': {'text/html':\n",
" \"<div style='background-color: #fdd'>\\n\"+\n",
" \"<p>\\n\"+\n",
" \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
" \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
" \"</p>\\n\"+\n",
" \"<ul>\\n\"+\n",
" \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
" \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
" \"</ul>\\n\"+\n",
" \"<code>\\n\"+\n",
" \"from bokeh.resources import INLINE\\n\"+\n",
" \"output_notebook(resources=INLINE)\\n\"+\n",
" \"</code>\\n\"+\n",
" \"</div>\"}};\n",
"\n",
" function display_loaded() {\n",
" var el = document.getElementById(\"1001\");\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS is loading...\";\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" if (el != null) {\n",
" el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
" }\n",
" } else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(display_loaded, 100)\n",
" }\n",
" }\n",
"\n",
"\n",
" function run_callbacks() {\n",
" try {\n",
" root._bokeh_onload_callbacks.forEach(function(callback) {\n",
" if (callback != null)\n",
" callback();\n",
" });\n",
" } finally {\n",
" delete root._bokeh_onload_callbacks\n",
" }\n",
" console.debug(\"Bokeh: all callbacks have finished\");\n",
" }\n",
"\n",
" function load_libs(css_urls, js_urls, callback) {\n",
" if (css_urls == null) css_urls = [];\n",
" if (js_urls == null) js_urls = [];\n",
"\n",
" root._bokeh_onload_callbacks.push(callback);\n",
" if (root._bokeh_is_loading > 0) {\n",
" console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
" return null;\n",
" }\n",
" if (js_urls == null || js_urls.length === 0) {\n",
" run_callbacks();\n",
" return null;\n",
" }\n",
" console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
" root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
"\n",
" function on_load() {\n",
" root._bokeh_is_loading--;\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
" run_callbacks()\n",
" }\n",
" }\n",
"\n",
" function on_error() {\n",
" console.error(\"failed to load \" + url);\n",
" }\n",
"\n",
" for (var i = 0; i < css_urls.length; i++) {\n",
" var url = css_urls[i];\n",
" const element = document.createElement(\"link\");\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.rel = \"stylesheet\";\n",
" element.type = \"text/css\";\n",
" element.href = url;\n",
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" for (var i = 0; i < js_urls.length; i++) {\n",
" var url = js_urls[i];\n",
" var element = document.createElement('script');\n",
" element.onload = on_load;\n",
" element.onerror = on_error;\n",
" element.async = false;\n",
" element.src = url;\n",
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
" document.head.appendChild(element);\n",
" }\n",
" };var element = document.getElementById(\"1001\");\n",
" if (element == null) {\n",
" console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n",
" return false;\n",
" }\n",
"\n",
" function inject_raw_css(css) {\n",
" const element = document.createElement(\"style\");\n",
" element.appendChild(document.createTextNode(css));\n",
" document.body.appendChild(element);\n",
" }\n",
"\n",
" var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n",
" var css_urls = [];\n",
"\n",
" var inline_js = [\n",
" function(Bokeh) {\n",
" Bokeh.set_log_level(\"info\");\n",
" },\n",
" \n",
" function(Bokeh) {\n",
" \n",
" },\n",
" function(Bokeh) {} // ensure no trailing comma for IE\n",
" ];\n",
"\n",
" function run_inline_js() {\n",
" \n",
" if ((root.Bokeh !== undefined) || (force === true)) {\n",
" for (var i = 0; i < inline_js.length; i++) {\n",
" inline_js[i].call(root, root.Bokeh);\n",
" }if (force === true) {\n",
" display_loaded();\n",
" }} else if (Date.now() < root._bokeh_timeout) {\n",
" setTimeout(run_inline_js, 100);\n",
" } else if (!root._bokeh_failed_load) {\n",
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
" root._bokeh_failed_load = true;\n",
" } else if (force !== true) {\n",
" var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
" cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
" }\n",
"\n",
" }\n",
"\n",
" if (root._bokeh_is_loading === 0) {\n",
" console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
" run_inline_js();\n",
" } else {\n",
" load_libs(css_urls, js_urls, function() {\n",
" console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
" run_inline_js();\n",
" });\n",
" }\n",
"}(window));"
],
"application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"<div style='background-color: #fdd'>\\n\"+\n \"<p>\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"</p>\\n\"+\n \"<ul>\\n\"+\n \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n \"<li>use INLINE resources instead, as so:</li>\\n\"+\n \"</ul>\\n\"+\n \"<code>\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"</code>\\n\"+\n \"</div>\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1001\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };var element = document.getElementById(\"1001\");\n if (element == null) {\n console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n return false;\n }\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.3.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.3.4.min.js\"];\n var css_urls = [];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within sLine truncated
},
"metadata": {},
"output_type": "display_data"
}
],
"outputs": [],
"source": [
"output_notebook()"
]
@@ -377,11 +64,11 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"MODEL_RUN_PATH = \"/home/neil/main/Projects/TTS3/speaker_encoder/libritts_360-half-September-28-2019_10+46AM-8565c50/\"\n",
"MODEL_RUN_PATH = \"/media/erogol/data_ssd/Models/libri_tts/speaker_encoder/libritts_360-half-October-31-2019_04+54PM-19d2f5f/\"\n",
"MODEL_PATH = MODEL_RUN_PATH + \"best_model.pth.tar\"\n",
"CONFIG_PATH = MODEL_RUN_PATH + \"config.json\"\n",
"\n",
@@ -390,63 +77,24 @@
"#AUDIO_PATH = \"/home/neil/data/Projects/NeilTTS/neil14/wavs/\"\n",
"\n",
"# My multi speaker locations\n",
"EMBED_PATH = \"/home/neil/main/Projects/TTS3/embeddings/libritts_360/\"\n",
"AUDIO_PATH = \"/home/neil/main/Projects/LibriTTS/LibriTTS/train-clean-360/\""
"EMBED_PATH = \"/home/erogol/Data/Libri-TTS/train-clean-360-embed_128/\"\n",
"AUDIO_PATH = \"/home/erogol/Data/Libri-TTS/train-clean-360/\""
]
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"best_model.pth.tar\r\n",
"config.json\r\n",
"events.out.tfevents.1569660396.erogol-desktop\r\n"
]
}
],
"outputs": [],
"source": [
"!ls -1 $MODEL_RUN_PATH"
]
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" > Setting up Audio Processor...\n",
" | > sample_rate:24000\n",
" | > num_mels:40\n",
" | > min_level_db:-100\n",
" | > frame_shift_ms:12.5\n",
" | > frame_length_ms:50\n",
" | > ref_level_db:20\n",
" | > num_freq:1025\n",
" | > power:None\n",
" | > preemphasis:0.98\n",
" | > griffin_lim_iters:None\n",
" | > signal_norm:True\n",
" | > symmetric_norm:True\n",
" | > mel_fmin:0\n",
" | > mel_fmax:8000.0\n",
" | > max_norm:4.0\n",
" | > clip_norm:True\n",
" | > do_trim_silence:False\n",
" | > sound_norm:False\n",
" | > n_fft:2048\n",
" | > hop_length:300\n",
" | > win_length:1200\n"
]
}
],
"outputs": [],
"source": [
"CONFIG = load_config(CONFIG_PATH)\n",
"ap = AudioProcessor(**CONFIG['audio'])"
@@ -461,17 +109,9 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Embeddings found: 116500\n"
]
}
],
"outputs": [],
"source": [
"embed_files = glob.glob(EMBED_PATH+\"/**/*.npy\", recursive=True)\n",
"print(f'Embeddings found: {len(embed_files)}')"
@@ -486,20 +126,9 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/home/neil/main/Projects/TTS3/embeddings/libritts_360/7732/107520/7732_107520_000009_000003.npy'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"embed_files[0]"
]
@@ -515,17 +144,9 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Speaker count: 904\n"
]
}
],
"outputs": [],
"source": [
"speaker_paths = list(set([os.path.dirname(os.path.dirname(embed_file)) for embed_file in embed_files]))\n",
"speaker_to_utter = {}\n",
@@ -549,7 +170,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -590,7 +211,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -615,65 +236,9 @@
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
" <div class=\"bk-root\" id=\"e515e894-9f0f-4373-b879-972fbfc359fa\" data-root-id=\"1007\"></div>\n"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/javascript": [
"(function(root) {\n",
" function embed_document(root) {\n",
" \n",
" var docs_json = {\"95a95da2-6471-485d-aafc-7fcb3a90c6fa\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1016\",\"type\":\"LinearAxis\"}],\"center\":[{\"id\":\"1020\",\"type\":\"Grid\"},{\"id\":\"1025\",\"type\":\"Grid\"}],\"left\":[{\"id\":\"1021\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"renderers\":[{\"id\":\"1035\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"1038\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"1026\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"1008\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"1012\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"1010\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"1014\",\"type\":\"LinearScale\"}},\"id\":\"1007\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"source\":{\"id\":\"1002\",\"type\":\"ColumnDataSource\"}},\"id\":\"1036\",\"type\":\"CDSView\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1038\",\"type\":\"Title\"},{\"attributes\":{\"callback\":null},\"id\":\"1008\",\"type\":\"DataRange1d\"},{\"attributes\":{\"url\":\"http://localhost:8000/@desc\"},\"id\":\"1046\",\"type\":\"OpenURL\"},{\"attributes\":{\"callback\":null},\"id\":\"1010\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1045\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1039\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1003\",\"type\":\"HoverTool\"},{\"id\":\"1004\",\"type\":\"BoxZoomTool\"},{\"id\":\"1005\",\"type\":\"ResetTool\"},{\"id\":\"1006\",\"type\":\"TapTool\"}]},\"id\":\"1026\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1014\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1044\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1022\",\"type\":\"BasicTicker\"},{\"attributes\":{\"ticker\":{\"id\":\"1017\",\"type\":\"BasicTicker\"}},\"id\":\"1020\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":{\"id\":\"1046\",\"type\":\"OpenURL\"}},\"id\":\"1006\",\"type\":\"TapTool\"},{\"attributes\":{},\"id\":\"1017\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_color\":{\"field\":\"label\",\"transform\":{\"id\":\"1031\",\"type\":\"CategoricalColorMapper\"}},\"line_color\":{\"field\":\"label\",\"transform\":{\"id\":\"1031\",\"type\":\"CategoricalColorMapper\"}},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1033\",\"type\":\"Circle\"},{\"attributes\":{\"formatter\":{\"id\":\"1041\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"1017\",\"type\":\"BasicTicker\"}},\"id\":\"1016\",\"type\":\"LinearAxis\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1043\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"formatter\":{\"id\":\"1039\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"1022\",\"type\":\"BasicTicker\"}},\"id\":\"1021\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1041\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"file\",\"@desc\"],[\"speaker\",\"@label\"]]},\"id\":\"1003\",\"type\":\"HoverTool\"},{\"attributes\":{\"callback\":null,\"data\":{\"desc\":[\"8193/116804/8193_116804_000036_000003.wav\",\"8193/116805/8193_116805_000019_000000.wav\",\"8193/116804/8193_116804_000071_000003.wav\",\"8193/116805/8193_116805_000013_000000.wav\",\"8193/116805/8193_116805_000009_000001.wav\",\"8193/116805/8193_116805_000058_000000.wav\",\"8193/116805/8193_116805_000005_000000.wav\",\"8193/116804/8193_116804_000047_000000.wav\",\"8193/116805/8193_116805_000015_000003.wav\",\"8193/116804/8193_116804_000035_000000.wav\",\"8193/116805/8193_116805_000036_000001.wav\",\"8193/116804/8193_116804_000070_000001.wav\",\"8193/116805/8193_116805_000012_000000.wav\",\"8193/116805/8193_116805_000014_000000.wav\",\"8193/116804/8193_116804_000055_000003.wav\",\"8193/116805/8193_116805_000039_000003.wav\",\"8193/116805/8193_116805_000016_000000.wav\",\"8193/116804/8193_116804_000017_000003.wav\",\"8193/116804/8193_116804_000070_000001.wav\",\"8193/116805/8193_116805_000065_000001.wav\",\"829/123192/829_123192_000032_000000.wav\",\"829/123192/829_123192_000059_000000.wav\",\"829/123192/829_123192_000059_000000.wav\",\"829/123191/829_123191_000006_000000.wav\",\"829/123191/829_123191_000053_000001.wav\",\"829/123192/829_123192_000059_000000.wav\",\"829/123192/829_123192_000076_000000.wav\",\"829/123191/829_123191_000077_000003.wav\",\"829/123192/829_123192_000069_000000.wav\",\"829/123192/829_123192_000025_000000.wav\",\"829/123192/829_123192_000011_000000.wav\",\"829/123191/829_123191_000023_000000.wav\",\"829/123192/82Line truncated
" var render_items = [{\"docid\":\"95a95da2-6471-485d-aafc-7fcb3a90c6fa\",\"roots\":{\"1007\":\"e515e894-9f0f-4373-b879-972fbfc359fa\"}}];\n",
" root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
"\n",
" }\n",
" if (root.Bokeh !== undefined) {\n",
" embed_document(root);\n",
" } else {\n",
" var attempts = 0;\n",
" var timer = setInterval(function(root) {\n",
" if (root.Bokeh !== undefined) {\n",
" embed_document(root);\n",
" clearInterval(timer);\n",
" }\n",
" attempts++;\n",
" if (attempts > 100) {\n",
" console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
" clearInterval(timer);\n",
" }\n",
" }, 10, root)\n",
" }\n",
"})(window);"
],
"application/vnd.bokehjs_exec.v0+json": ""
},
"metadata": {
"application/vnd.bokehjs_exec.v0+json": {
"id": "1007"
}
},
"output_type": "display_data"
}
],
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"source_wav_stems = ColumnDataSource(\n",
" data=dict(\n",
@@ -726,33 +291,14 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": null,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/neil/main/Projects/LibriTTS/LibriTTS/train-clean-360\n",
"Serving HTTP on 0.0.0.0 port 8000 (http://0.0.0.0:8000/) ...\n",
"^C\n",
"\n",
"Keyboard interrupt received, exiting.\n"
]
}
],
"outputs": [],
"source": [
"%cd $AUDIO_PATH\n",
"%pwd\n",
"!python -m http.server"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
@@ -771,7 +317,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
"version": "3.7.4"
}
},
"nbformat": 4,