Table of Content
In the previously described methods, the speaker model set may comprise more than one speaker-independent speaker model. In this way, suitable speaker-independent models for a specific type or class of speakers may be provided. In view of the different parameters entering the predetermined criterion, thus avoiding use of a strict threshold detection, reliability of the results may be increased.
However, the present invention is particularly useful in case of short utterances such as having a length of less than 3 seconds. Wirecutter is the product recommendation service from The New York Times. Our journalists combine independent research with over-the-top testing to save people time, energy and money when making buying decisions. Whether it's finding great products or discovering helpful advice, we'll help you get it right .
Roku TV Wireless Speakers Review: Should You Buy Them?
Keep your personal information private by setting up Voice Match on Google Home. Even in terms of basic convenience, the feature isn't perfect yet -- the Home still can't integrate multiple accounts for a single user, such as a home and work account. Below are the specifications for Google Nest and Home speakers and displays . When other people use the Google Assistant device that you’ve turned on Voice Match for, your media history and recommendations from these services might change. Without a match, the device will treat the query as a guest query and will not provide personal results. Scroll down for a list of shared devices that you’ve turned on Voice Match for.
In some cases, the recordings included "bedroom conversations, conversations between parents and their children, but also blazing rows and professional phone calls containing lots of private information". Grant Clauser is the senior editor for the smart-home and audio/video categories. He has been reporting on technology since 1999 and has been an invited speaker at events including CES and CEDIA. Google has discontinued the original Google Home smart speaker and replaced it with the Nest Audio, which will be available in early October for $100. The company says the Nest Audio is louder and has more bass than the original Home.
Find Speakers with Google Assistant
In the next step 203, speaker change recognition is performed in speaker change recognition component 104. In this step, in principle, a speaker change within a speech input or from a preceding speech input to the current speech input may be detected. However, particularly in the case of speech control, the utterances generally are very short so that the system may assume that each utterance stems from a single speaker.
You can add items to Google Keep by adding things to the Home’s shopping list, which will also show up on Keep. Currently, however, you have no way to create a to-do list other than using Keep, nor can you ask Google to read or create email or to make a Google Voice phone call. Google Assistant uses the intelligence of Google Maps to give you an address or a distance to a location, as well as to let you know what traffic conditions are, but currently it can’t give you directions. These are all things we’re told are on Google’s own to-do list, so we expect Google Assistant to evolve over time.
Which voice control system is best for your home? Google or Amazon?
When you can hear every layer and every single lyric of your favorite song, it enhances the listening experience. Sound effects can help to immerse you in Google Home’s audio games, and make you feel like you’re actually in the fictional world. Apparatus according to claim 16, wherein the detecting component additionally comprises a control component configured to control the detecting step based on received input data. Method according to one of the preceding claims, wherein the maximum number of speaker models in the speaker model set is limited. 1 illustrates schematically the structure of an example of an apparatus for speaker recognition; Fig. 2 illustrates a flow diagram of an example of a method for speaker recognition; and Fig.
Of course, the weights of the models λ, λ1 and λ2 are also to be normalized so as to sum up to 1. Alternatively, a symmetrical Kullback-Leibler entropy KL(λ1∥λ2) + KL(λ2∥λ1) may be used as a measure for the separability of the models. On the left-hand side, the clusters of the UBM are illustrated as well as some feature vectors .
Nest Hub Max
Open the Google Home app, then tap your personal icon in the upper-right corner, then tap Assistant settings. The Home app you use to set up multiple accounts warns you that the tech isn't perfect yet. As you train the Google Assistant, you see the disclaimer "a similar voice or recording might be able" to trick the Home. Send feedback to Google if you’re experiencing an ongoing issue with voice recognition while using a certain application.
x,λ) is determined. It corresponds to a probability that a feature vector x has been generated at time t by cluster i having the knowledge of the parameter λ of the GMM. In principle, the speech input may be any type of utterance by one or more users.
In this case, the predetermined criterion may additionally be based on a distance measure, such as a Kullback-Leibler entropy or a cross-correlation of the two speaker models. In particular, the method may comprise fusing or combining two speaker models of the speaker model set. For example, different speech models and/or vocabularies may be provided, trained and/or adapted for different speakers during use of the speech recognition method. Furthermore, as speech control in many cases consists of short utterances, an increased recognition reliability is desirable. The detecting step may comprise performing feature extraction on the received speech input. Performing feature extraction may comprise determining a feature vector, pitch and/or signal-to-noise ratio.
Additionally, a speaker change recognition may be performed to obtain a measure for no speaker change. Then, the predetermined criterion may additionally be based on the no speaker change measure. Prior art speaker recognition systems as mentioned above, however have the drawback that an extensive training has to be performed in advance in order to obtain the necessary speech samples and/or speaker models. For different applications such as speech recognition, distinguishing between different speakers might provide useful but providing any prior training is undesirable. Optionally, a model fusion step 206 may be performed in model fusion component 107. In this step, the distance between two speaker models are determined to identify two speaker models belonging to a same speaker.
The creating step may comprise adapting a speaker-independent speaker model to create the speaker model. Particularly in this case, the adapting step may comprise performing a Maximum A Posteriori method. In this way, a speaker-independent speaker model provided beforehand serves as a basis for creating a speaker-dependent speaker model. The creating step may comprise adapting the speaker-independent speaker model to create a group of speaker-independent models. Such speaker-independent models may be adapted to a specific type or class of speaker . The original Google Home speaker released in November 2016 featured a cylindrical shape with colored status LEDs on top.
The methods, particularly the detecting step may additionally comprise determining a distance between two speaker models. This allows to determine, for example, whether two speaker models are to be fused (e.g. because of corresponding to the same speaker). In particular, a speaker change measure and a speaker identification measure may be determined in the form of a likelihood function. The speaker change recognition may be configured to obtain a measure for a speaker change within the received speech input and/or from a preceding speech input to the received speech input. In the case of short utterances or speech inputs (e.g., shorter than 3 seconds), obtaining a measure for a speaker change of the received speech input compared to a preceding speech input is particularly suitable.
Best of all, there's a physical switch on the back that turns off the mic and camera. By the factor α, a weighting over the number of "softly" assigned feature vectors is obtained so that the adaption step is proportional to the number of assigned vectors. Clusters with a small number of adaption data are adapted slower than clusters for which a large number of vectors was available.
Google Voice users can set Google Home with voice number to make personal and business calls. "Proactive Assistance" enables the device to dictate updates to users without being asked, including updates on traffic before a scheduled event. "Visual Responses" let users send answers from Google Home onto their mobile device or Chromecast-enabled television. The device now also supports Bluetooth audio streaming through compatible devices , and the ability to schedule calendar appointments, with upcoming support for reminders.
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