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Resemblyzer | python package to analyze and compare voices with deep learning | Speech library

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kandi X-RAY | Resemblyzer Summary

Resemblyzer is a Python library typically used in Artificial Intelligence, Speech, Deep Learning, Tensorflow applications. Resemblyzer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install Resemblyzer' or download it from GitHub, PyPI.
Resemblyzer allows you to derive a high-level representation of a voice through a deep learning model (referred to as the voice encoder). Given an audio file of speech, it creates a summary vector of 256 values (an embedding, often shortened to "embed" in this repo) that summarizes the characteristics of the voice spoken. N.B.: this repo holds 100mb of audio data for demonstration purpose. To get the package alone, run pip install resemblyzer (python 3.5+ is required).

kandi-support Support

  • Resemblyzer has a medium active ecosystem.
  • It has 1586 star(s) with 289 fork(s). There are 60 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 27 open issues and 31 have been closed. On average issues are closed in 5 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of Resemblyzer is 0.1.1-dev

quality kandi Quality

  • Resemblyzer has 0 bugs and 0 code smells.

securitySecurity

  • Resemblyzer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • Resemblyzer code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.

license License

  • Resemblyzer is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.

buildReuse

  • Resemblyzer releases are available to install and integrate.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • Resemblyzer saves you 84 person hours of effort in developing the same functionality from scratch.
  • It has 216 lines of code, 12 functions and 7 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA

kandi has reviewed Resemblyzer and discovered the below as its top functions. This is intended to give you an instant insight into Resemblyzer implemented functionality, and help decide if they suit your requirements.

  • Plot the diagization plot .
  • Compute the split utterances between two parts .
  • Trims the length of the audio waveform .
  • Preprocess a wav file .
  • Plots the projections of the given speakers .
  • Plot similarity matrix .
  • Plot a histogram of samples .
  • Plot a heatmap as heatmap .
  • Convert a wav file into a melpectrogram .
  • Play a wav file .

Resemblyzer Key Features

A python package to analyze and compare voices with deep learning

Resemblyzer Examples and Code Snippets

  • Code example

Code example

from resemblyzer import VoiceEncoder, preprocess_wav
from pathlib import Path
import numpy as np

fpath = Path("path_to_an_audio_file")
wav = preprocess_wav(fpath)

encoder = VoiceEncoder()
embed = encoder.embed_utterance(wav)
np.set_printoptions(precision=3, suppress=True)
print(embed)

Community Discussions

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Trending Discussions on Speech

QUESTION

Enable use of images from the local library on Kubernetes

Asked 2022-Mar-20 at 13:23

I'm following a tutorial https://docs.openfaas.com/tutorials/first-python-function/,

currently, I have the right image

$ docker images | grep hello-openfaas
wm/hello-openfaas                                     latest                          bd08d01ce09b   34 minutes ago      65.2MB
$ faas-cli deploy -f ./hello-openfaas.yml 
Deploying: hello-openfaas.
WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.

Deployed. 202 Accepted.
URL: http://IP:8099/function/hello-openfaas

there is a step that forewarns me to do some setup(My case is I'm using Kubernetes and minikube and don't want to push to a remote container registry, I should enable the use of images from the local library on Kubernetes.), I see the hints

see the helm chart for how to set the ImagePullPolicy

I'm not sure how to configure it correctly. the final result indicates I failed.

Unsurprisingly, I couldn't access the function service, I find some clues in https://docs.openfaas.com/deployment/troubleshooting/#openfaas-didnt-start which might help to diagnose the problem.

$ kubectl logs -n openfaas-fn deploy/hello-openfaas
Error from server (BadRequest): container "hello-openfaas" in pod "hello-openfaas-558f99477f-wd697" is waiting to start: trying and failing to pull image

$ kubectl describe -n openfaas-fn deploy/hello-openfaas
Name:                   hello-openfaas
Namespace:              openfaas-fn
CreationTimestamp:      Wed, 16 Mar 2022 14:59:49 +0800
Labels:                 faas_function=hello-openfaas
Annotations:            deployment.kubernetes.io/revision: 1
                        prometheus.io.scrape: false
Selector:               faas_function=hello-openfaas
Replicas:               1 desired | 1 updated | 1 total | 0 available | 1 unavailable
StrategyType:           RollingUpdate
MinReadySeconds:        0
RollingUpdateStrategy:  0 max unavailable, 1 max surge
Pod Template:
  Labels:       faas_function=hello-openfaas
  Annotations:  prometheus.io.scrape: false
  Containers:
   hello-openfaas:
    Image:      wm/hello-openfaas:latest
    Port:       8080/TCP
    Host Port:  0/TCP
    Liveness:   http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
    Readiness:  http-get http://:8080/_/health delay=2s timeout=1s period=2s #success=1 #failure=3
    Environment:
      fprocess:  python3 index.py
    Mounts:      <none>
  Volumes:       <none>
Conditions:
  Type           Status  Reason
  ----           ------  ------
  Available      False   MinimumReplicasUnavailable
  Progressing    False   ProgressDeadlineExceeded
OldReplicaSets:  <none>
NewReplicaSet:   hello-openfaas-558f99477f (1/1 replicas created)
Events:
  Type    Reason             Age   From                   Message
  ----    ------             ----  ----                   -------
  Normal  ScalingReplicaSet  29m   deployment-controller  Scaled up replica set hello-openfaas-558f99477f to 1

hello-openfaas.yml

version: 1.0
provider:
  name: openfaas
  gateway: http://IP:8099
functions:
  hello-openfaas:
    lang: python3
    handler: ./hello-openfaas
    image: wm/hello-openfaas:latest
    imagePullPolicy: Never

I create a new project hello-openfaas2 to reproduce this error

$ faas-cli new --lang python3 hello-openfaas2 --prefix="wm"
Folder: hello-openfaas2 created.
# I add `imagePullPolicy: Never` to `hello-openfaas2.yml`
$ faas-cli build -f ./hello-openfaas2.yml 
$ faas-cli deploy -f ./hello-openfaas2.yml 
Deploying: hello-openfaas2.
WARNING! You are not using an encrypted connection to the gateway, consider using HTTPS.

Deployed. 202 Accepted.
URL: http://192.168.1.3:8099/function/hello-openfaas2


$ kubectl logs -n openfaas-fn deploy/hello-openfaas2
Error from server (BadRequest): container "hello-openfaas2" in pod "hello-openfaas2-7c67488865-7d7vm" is waiting to start: image can't be pulled

$ kubectl get pods --all-namespaces
NAMESPACE              NAME                                        READY   STATUS             RESTARTS         AGE
kube-system            coredns-64897985d-kp7vf                     1/1     Running            0                47h
...
openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0                4h28m
openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0                18h
openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0                127m
openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0                165m
openfaas-fn            hello-openfaas2-7c67488865-qmrkl            0/1     ImagePullBackOff   0                13m
openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0                97m
openfaas-fn            hello-python-554b464498-zxcdv               0/1     ErrImagePull       0                3h23m
openfaas-fn            hello-python-8698bc68bd-62gh9               0/1     ImagePullBackOff   0                3h25m

from https://docs.openfaas.com/reference/yaml/, I know I put the imagePullPolicy in the wrong place, there is no such keyword in its schema.

I also tried eval $(minikube docker-env and still get the same error.


I've a feeling that faas-cli deploy can be replace by helm, they all mean to run the image(whether from remote or local) in Kubernetes cluster, then I can use helm chart to setup the pullPolicy there. Even though the detail is not still clear to me, This discovery inspires me.


So far, after eval $(minikube docker-env)

$ docker images
REPOSITORY                                TAG        IMAGE ID       CREATED             SIZE
wm/hello-openfaas2                        0.1        03c21bd96d5e   About an hour ago   65.2MB
python                                    3-alpine   69fba17b9bae   12 days ago         48.6MB
ghcr.io/openfaas/figlet                   latest     ca5eef0de441   2 weeks ago         14.8MB
ghcr.io/openfaas/alpine                   latest     35f3d4be6bb8   2 weeks ago         14.2MB
ghcr.io/openfaas/faas-netes               0.14.2     524b510505ec   3 weeks ago         77.3MB
k8s.gcr.io/kube-apiserver                 v1.23.3    f40be0088a83   7 weeks ago         135MB
k8s.gcr.io/kube-controller-manager        v1.23.3    b07520cd7ab7   7 weeks ago         125MB
k8s.gcr.io/kube-scheduler                 v1.23.3    99a3486be4f2   7 weeks ago         53.5MB
k8s.gcr.io/kube-proxy                     v1.23.3    9b7cc9982109   7 weeks ago         112MB
ghcr.io/openfaas/gateway                  0.21.3     ab4851262cd1   7 weeks ago         30.6MB
ghcr.io/openfaas/basic-auth               0.21.3     16e7168a17a3   7 weeks ago         14.3MB
k8s.gcr.io/etcd                           3.5.1-0    25f8c7f3da61   4 months ago        293MB
ghcr.io/openfaas/classic-watchdog         0.2.0      6f97aa96da81   4 months ago        8.18MB
k8s.gcr.io/coredns/coredns                v1.8.6     a4ca41631cc7   5 months ago        46.8MB
k8s.gcr.io/pause                          3.6        6270bb605e12   6 months ago        683kB
ghcr.io/openfaas/queue-worker             0.12.2     56e7216201bc   7 months ago        7.97MB
kubernetesui/dashboard                    v2.3.1     e1482a24335a   9 months ago        220MB
kubernetesui/metrics-scraper              v1.0.7     7801cfc6d5c0   9 months ago        34.4MB
nats-streaming                            0.22.0     12f2d32e0c9a   9 months ago        19.8MB
gcr.io/k8s-minikube/storage-provisioner   v5         6e38f40d628d   11 months ago       31.5MB
functions/markdown-render                 latest     93b5da182216   2 years ago         24.6MB
functions/hubstats                        latest     01affa91e9e4   2 years ago         29.3MB
functions/nodeinfo                        latest     2fe8a87bf79c   2 years ago         71.4MB
functions/alpine                          latest     46c6f6d74471   2 years ago         21.5MB
prom/prometheus                           v2.11.0    b97ed892eb23   2 years ago         126MB
prom/alertmanager                         v0.18.0    ce3c87f17369   2 years ago         51.9MB
alexellis2/openfaas-colorization          0.4.1      d36b67b1b5c1   2 years ago         1.84GB
rorpage/text-to-speech                    latest     5dc20810eb54   2 years ago         86.9MB
stefanprodan/faas-grafana                 4.6.3      2a4bd9caea50   4 years ago         284MB

$ kubectl get pods --all-namespaces
NAMESPACE              NAME                                        READY   STATUS             RESTARTS        AGE
kube-system            coredns-64897985d-kp7vf                     1/1     Running            0               6d
kube-system            etcd-minikube                               1/1     Running            0               6d
kube-system            kube-apiserver-minikube                     1/1     Running            0               6d
kube-system            kube-controller-manager-minikube            1/1     Running            0               6d
kube-system            kube-proxy-5m8lr                            1/1     Running            0               6d
kube-system            kube-scheduler-minikube                     1/1     Running            0               6d
kube-system            storage-provisioner                         1/1     Running            1 (6d ago)      6d
kubernetes-dashboard   dashboard-metrics-scraper-58549894f-97tsv   1/1     Running            0               5d7h
kubernetes-dashboard   kubernetes-dashboard-ccd587f44-lkwcx        1/1     Running            0               5d7h
openfaas-fn            base64-6bdbcdb64c-djz8f                     1/1     Running            0               5d1h
openfaas-fn            colorise-85c74c686b-2fz66                   1/1     Running            0               4d5h
openfaas-fn            echoit-5d7df6684c-k6ljn                     1/1     Running            0               5d1h
openfaas-fn            env-6c79f7b946-bzbtm                        1/1     Running            0               4d5h
openfaas-fn            figlet-54db496f88-957xl                     1/1     Running            0               4d19h
openfaas-fn            hello-openfaas-547857b9d6-z277c             0/1     ImagePullBackOff   0               4d3h
openfaas-fn            hello-openfaas-7b6946b4f9-hcvq4             0/1     ImagePullBackOff   0               4d3h
openfaas-fn            hello-openfaas2-5c6f6cb5d9-24hkz            0/1     ImagePullBackOff   0               9m22s
openfaas-fn            hello-openfaas2-8957bb47b-7cgjg             0/1     ImagePullBackOff   0               2d22h
openfaas-fn            hello-openfaas3-65847b8b67-b94kd            0/1     ImagePullBackOff   0               4d2h
openfaas-fn            hello-python-6d6976845f-cwsln               0/1     ImagePullBackOff   0               3d19h
openfaas-fn            hello-python-b577cb8dc-64wf5                0/1     ImagePullBackOff   0               3d9h
openfaas-fn            hubstats-b6cd4dccc-z8tvl                    1/1     Running            0               5d1h
openfaas-fn            markdown-68f69f47c8-w5m47                   1/1     Running            0               5d1h
openfaas-fn            nodeinfo-d48cbbfcc-hfj79                    1/1     Running            0               5d1h
openfaas-fn            openfaas2-fun                               1/1     Running            0               15s
openfaas-fn            text-to-speech-74ffcdfd7-997t4              0/1     CrashLoopBackOff   2235 (3s ago)   4d5h
openfaas-fn            wordcount-6489865566-cvfzr                  1/1     Running            0               5d1h
openfaas               alertmanager-88449c789-fq2rg                1/1     Running            0               3d1h
openfaas               basic-auth-plugin-75fd7d69c5-zw4jh          1/1     Running            0               3d2h
openfaas               gateway-5c4bb7c5d7-n8h27                    2/2     Running            0               3d2h
openfaas               grafana                                     1/1     Running            0               4d8h
openfaas               nats-647b476664-hkr7p                       1/1     Running            0               3d2h
openfaas               prometheus-687648749f-tl8jp                 1/1     Running            0               3d1h
openfaas               queue-worker-7777ffd7f6-htx6t               1/1     Running            0               3d2h


$ kubectl get -o yaml -n openfaas-fn deploy/hello-openfaas2
apiVersion: apps/v1
kind: Deployment
metadata:
  annotations:
    deployment.kubernetes.io/revision: "6"
    prometheus.io.scrape: "false"
  creationTimestamp: "2022-03-17T12:47:35Z"
  generation: 6
  labels:
    faas_function: hello-openfaas2
  name: hello-openfaas2
  namespace: openfaas-fn
  resourceVersion: "400833"
  uid: 9c4e9d26-23af-4f93-8538-4e2d96f0d7e0
spec:
  progressDeadlineSeconds: 600
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      faas_function: hello-openfaas2
  strategy:
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
    type: RollingUpdate
  template:
    metadata:
      annotations:
        prometheus.io.scrape: "false"
      creationTimestamp: null
      labels:
        faas_function: hello-openfaas2
        uid: "969512830"
      name: hello-openfaas2
    spec:
      containers:
      - env:
        - name: fprocess
          value: python3 index.py
        image: wm/hello-openfaas2:0.1
        imagePullPolicy: Always
        livenessProbe:
          failureThreshold: 3
          httpGet:
            path: /_/health
            port: 8080
            scheme: HTTP
          initialDelaySeconds: 2
          periodSeconds: 2
          successThreshold: 1
          timeoutSeconds: 1
        name: hello-openfaas2
        ports:
        - containerPort: 8080
          name: http
          protocol: TCP
        readinessProbe:
          failureThreshold: 3
          httpGet:
            path: /_/health
            port: 8080
            scheme: HTTP
          initialDelaySeconds: 2
          periodSeconds: 2
          successThreshold: 1
          timeoutSeconds: 1
        resources: {}
        securityContext:
          allowPrivilegeEscalation: false
          readOnlyRootFilesystem: false
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
      dnsPolicy: ClusterFirst
      enableServiceLinks: false
      restartPolicy: Always
      schedulerName: default-scheduler
      securityContext: {}
      terminationGracePeriodSeconds: 30
status:
  conditions:
  - lastTransitionTime: "2022-03-17T12:47:35Z"
    lastUpdateTime: "2022-03-17T12:47:35Z"
    message: Deployment does not have minimum availability.
    reason: MinimumReplicasUnavailable
    status: "False"
    type: Available
  - lastTransitionTime: "2022-03-20T12:16:56Z"
    lastUpdateTime: "2022-03-20T12:16:56Z"
    message: ReplicaSet "hello-openfaas2-5d6c7c7fb4" has timed out progressing.
    reason: ProgressDeadlineExceeded
    status: "False"
    type: Progressing
  observedGeneration: 6
  replicas: 2
  unavailableReplicas: 2
  updatedReplicas: 1

In one shell,

docker@minikube:~$ docker run  --name wm -ti wm/hello-openfaas2:0.1
2022/03/20 13:04:52 Version: 0.2.0  SHA: 56bf6aac54deb3863a690f5fc03a2a38e7d9e6ef
2022/03/20 13:04:52 Timeouts: read: 5s write: 5s hard: 0s health: 5s.
2022/03/20 13:04:52 Listening on port: 8080
...

and another shell

docker@minikube:~$ docker ps | grep wm
d7796286641c   wm/hello-openfaas2:0.1             "fwatchdog"              3 minutes ago       Up 3 minutes (healthy)   8080/tcp   wm

ANSWER

Answered 2022-Mar-16 at 08:10

If your image has a latest tag, the Pod's ImagePullPolicy will be automatically set to Always. Each time the pod is created, Kubernetes tries to pull the newest image.

Try not tagging the image as latest or manually setting the Pod's ImagePullPolicy to Never. If you're using static manifest to create a Pod, the setting will be like the following:

containers:
  - name: test-container
    image: testImage:latest
    imagePullPolicy: Never

Source https://stackoverflow.com/questions/71493306

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Resemblyzer

You can install using 'pip install Resemblyzer' or download it from GitHub, PyPI.
You can use Resemblyzer like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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